Lead Data Security Solution Engineer

LEAD DATA SECURITY SOLUTION ENGINEER

Experience: 10+ Years

Location: Remote

Employment Type: Full-Time

Budget: Up to ₹35 LPA

Time Zone: US Eastern Time (ET)

Shift: US ET Night Shift

Job Description

We are looking for an experienced Lead Data Security Solution Engineer with strong expertise in database security, IAM, authentication, authorization, and enterprise data architecture.

The candidate will be responsible for assessing existing database environments, designing secure data access architectures, implementing fine-grained authorization controls, and ensuring licensed data is protected throughout its lifecycle.

The role involves working closely with database, IAM, security, infrastructure, application, data platform, and governance teams.

Key Responsibilities

1. Technical and Database Assessment

• Assess database platforms, schemas, data flows, data lineage, connectivity, and downstream dependencies.
• Review where licensed data is stored, transformed, replicated, extracted, cached, archived, and backed up.
• Evaluate existing database security capabilities and identify gaps, risks, and technical constraints.

2. Authentication and Identity Integration

• Design secure authentication for users, applications, service identities, and workloads.
• Implement or evaluate OAuth 2.0, OIDC, token-based authentication, and enterprise IAM integration.
• Integrate enterprise identities, security groups, database roles, and policy engines.
• Reduce dependency on shared and long-lived credentials.

3. Fine-Grained Authorization and Data Security

• Design and implement database-level access controls.
• Implement Row-Level Security (RLS), Column-Level Security (CLS), dynamic data masking, and policy-based filtering.
• Design secure isolation patterns for licensed datasets.
• Ensure security policies are enforced at the database layer.

4. Auditing, Monitoring, and Traceability

• Design database auditing and activity monitoring.
• Track user access, queries, exports, permission changes, and privileged activities.
• Integrate audit logs with centralized monitoring and reporting systems.
• Define audit retention and investigation requirements.

5. Data Lifecycle and Deletion

• Design access revocation mechanisms for users, projects, and expired licensing agreements.
• Define secure data deletion processes across databases, backups, archives, caches, and downstream systems.
• Ensure deletion activities are validated and supported by audit evidence.

6. Solution Architecture and Engineering

• Develop current-state and target-state security architectures.
• Prepare technical specifications, implementation plans, and reusable security patterns.
• Evaluate solution options based on security, scalability, performance, feasibility, and cost.
• Collaborate with cross-functional technical and business teams.

7. POC Design and Execution

• Design and execute Proof of Concepts (POCs) for database security scenarios.
• Validate authentication, authorization, data isolation, auditing, access revocation, and deletion.
• Document test results, technical limitations, recommendations, and implementation approaches.

Required Technical Skills

• 10+ years of experience in database engineering, data security, solution architecture, or related fields.
• Strong hands-on experience with relational databases, SQL, database architecture, schemas, roles, and privileges.
• Experience implementing Row-Level Security (RLS), Column-Level Security (CLS), dynamic masking, and fine-grained authorization.
• Strong understanding of IAM, OAuth 2.0, OIDC, token-based authentication, service identities, and workload identities.
• Experience with secrets management and secure database connectivity.
• Knowledge of database auditing, query monitoring, centralized logging, alerting, and security investigations.
• Experience securing integrations involving applications, APIs, analytical tools, and ETL/ELT pipelines.
• Understanding of data lineage, retention, lifecycle management, revocation, deletion, backup, and recovery.
• Ability to assess heterogeneous database platforms and recommend suitable security architectures.
• Strong architecture, troubleshooting, documentation, and stakeholder-management skills.

Nice to Have

• Experience with enterprise data platforms and cloud or hybrid database environments.
• Knowledge of data catalogs, access governance, and policy-enforcement technologies.
• Experience in pharmaceutical research, healthcare, scientific data, or intellectual property protection.
• Exposure to data licensing, contractual-use restrictions, and regulated environments.
• Experience designing and executing security POCs and implementing production-ready solutions.

Expected Deliverables

• Database security and capability assessment.
• Current-state and target-state security architecture.
• Database authentication and IAM integration design.
• Fine-grained authorization and data-masking design.
• Data firewalling and licensed-dataset isolation patterns.
• Audit, monitoring, and traceability framework.
• Data revocation, retention, and deletion strategy.
• Technical feasibility, gap, dependency, and risk assessments.
• POC implementation, test results, and recommendations.
• Reusable technical documentation and operational handover.

Work Requirements

• Fully remote opportunity.
• Full-time employment.
• Must be comfortable working in the US Eastern Time (ET) night shift.
• Budget: Up to ₹35 LPA.

Role overview:

·         Technology Expertise & DBA Skill Set

·         Cloud Platforms: AWS, Azure

·         Database IaaS: Oracle, Microsoft SQL Server, PostgreSQL

·         Database PaaS: CosmosDB, MySQL, SQL Managed Instance, RDS Aurora, MongoDB

·         Infrastructure as Code: Terraform, Ansible

·         CI/CD & Automation: GitHub Actions, GitLab, Azure DevOps

·         Programming & Scripting: Python, Bash/Shell, PowerShell

·         Operating Systems: Linux/Unix (RHEL, Ubuntu), Window

Database Team Overview

Our Database Team is the foundation of enterprise-grade databases delivering secure, compliant and high-performing database platforms across Azure and AWS. We provide managed services for Oracle and Microsoft SQL Server, operating in a system DBA role to ensure platform reliability, resilience, and operational excellence. In addition, we support PaaS and RDS database services by acting as the platform team defining policies, enforcing security standards, and managing networking configurations while enabling self-service capabilities for application teams to consume these services efficiently.

What would you do here:

·         Database Security & Compliance: Implement robust security controls, encryption, and auditing to safeguard sensitive data and meet regulatory requirements.

·         Lifecycle Management: Oversee patching, upgrades, and end-of-life transitions to maintain platform stability and minimize risk.

·   Performance Optimization: Monitor and tune databases for optimal performance across diverse workloads.

·         Automation & Operational Excellence: Design and deploy automation for provisioning, monitoring, and maintenance to achieve “brilliant basics” and reduce manual intervention.

·         Business-Critical Certification: Validate and certify database environments to support mission-critical applications with high availability and disaster recovery strategies.

·         Incident & Problem Management: Provide rapid response and  root-cause analysis for database-related incidents to ensure business continuity.

·         Capacity Planning & Scalability: Forecast growth and optimize resources to support evolving business needs.

Best Regards!

As a Solutions Engineer/Sales Engineer, you will act as a trusted technical advisor to prospective customers in the US market. You will own the technical evaluation journey end-to-end, from the first discovery call to closing the deal, by demonstrating how our platform solves real-world data integration challenges. This role involves working closely with global customers (primarily North America ), designing scalable architectures, running tailored product demos, and building proofs-of-concept that showcase value.

Responsibilities:

• Run technical discovery calls with Heads of Data, Data Engineering Managers, and CTOs to understand their stack, pain points, and constraints. These are global conversations, primarily with customers in North America and Europe, and you will own them end-to-end.
• Design and present reference architectures showing how Hevo fits into their existing data stack (e. g., Salesforce, Postgres, GA4 Snowflake, dbt).
• Run live product demos tailored to the customer's stack. These are not scripted walkthroughs. You will need to read the room, adapt on the fly, and handle unexpected technical questions with confidence.
• Own the technical evaluation from the first conversation to the closed deal by addressing deep technical questions and earning trust with engineering teams.
• Build proofs-of-concept by configuring real pipelines from source systems (Salesforce, Outreach, Postgres, MySQL) into destinations like Snowflake or BigQuery.
• Develop deep expertise in the data integration landscape, including native solutions from AWS, GCP, and Azure (AWS Glue, Azure Data Factory, Google Cloud Dataflow) as well as other data pipeline and integration platforms, and articulate Hevo's technical advantages in a way that lands with both technical and non-technical buyers.
• Partner with Account Executives to drive technical wins and with Customer Success to ensure smooth handoffs after a deal closes.
• Share customer feedback and patterns with Product and Engineering to influence the roadmap.

Requirements:

• 2 to 6 years of hands-on experience as a Data engineer, Analytics engineer, ETL/ELT developer, or Data warehouse engineer.
• Experience building and operating real data pipelines in production, including handling source schema changes, failures, and reliability issues.
• Strong fundamentals in SQL and at least one cloud data warehouse (Snowflake, BigQuery, or Redshift).
• Experience with at least one orchestration or transformation tool (Airflow, dbt, or similar).
• Exceptional communication and presentation skills.
• This is non-negotiable. You will be the face of Hevo's technical capability to a global customer base. That means:
• Your spoken English is clear, confident, and easy to follow for an international audience.
• You are comfortable presenting to groups of 5 to 15 people, including senior technical leaders, over video calls.
• You can structure a technical narrative, not just answer questions but guide a conversation toward the right conclusion.
• You can hold your own when a customer pushes back or challenges your recommendation.
• You have presented or demoed something technical to an audience before, in any context: internal reviews, client calls, meetups, or conferences.
• Genuine interest in customer-facing work, even if you have not done it formally before.

Good to have:

• Experience with CDC tools or data integration platforms, whether cloud-native (AWS Glue, Azure Data Factory, or Google Cloud Dataflow) or third-party pipeline and integration tools.
• Exposure to multiple source system types such as CRMs, ad platforms, SaaS APIs, and OLTP databases.
• Public technical writing, conference talks, or open-source contributions.
• Prior experience in customer conversations, even informally. For example, presenting to internal stakeholders or analytics teams or working with international teams across time zones.

Key Skills:

Python & System Design: Strong expertise in Python and system design, with proven experience architecting scalable, production-grade systems.

LLM & Agentic AI: Proven experience building LLM-based and agentic systems from the ground up and evaluating them based on reproducibility, calibration, and cost.

Cloud & Data Architecture: Deep understanding of data and cloud architecture across AWS and Azure, including multi-store data design, distributed systems, streaming, security, and cost optimization.

Azure Databricks: Hands-on production experience with Azure Databricks architecture, including Unity Catalog, Delta Lake, cluster policy design, job orchestration, and Terraform provisioning.

Supply Chain & Inventory Management: Strong domain knowledge of supply chain and inventory operations, including demand planning, MRP logic, inventory parameters, and translating business planning decisions into data requirements.

System Architecture & Technical Decision-Making: Ability to make sound architectural decisions based on first principles, evaluate technical trade-offs, and avoid unnecessary complexity and abstraction.

LLM & Agentic AI: Proven experience building LLM-based and agentic systems from the ground up and evaluating them based on reproducibility, calibration, and cost.

Technical Leadership: Ability to influence teams without direct authority, establish technical standards, prepare technical specifications and documentation, and mentor team members.

Experience in pharmaceutical or regulated industries is highly valued.

Job Title: Technical Consultant – Netskope & SSE (L3 Engineer)

Company: Inflow Technologies

Location: Bangalore (Work From Office, 5 days/week)

About Inflow Technologies:

Inflow Technologies, founded in 2005 and headquartered in Bangalore, is a leading value-added IT infrastructure distributor across Networking, Cybersecurity, Unified Communications, AIDC, Surveillance, Server, Storage, and Software. With 20+ locations across India/South Asia and a 120+ member certified technical team, Inflow supports channel partners through the full solution sales cycle. Annual run-rate revenue: USD 700+ Million.

Position Overview:

We're looking for an experienced Technical Consultant (L3 Engineer) specializing in Netskope and Security Service Edge (SSE) technologies. You'll own end-to-end architecture, design, deployment, and optimization of cloud security solutions — acting as a trusted advisor who translates business requirements into secure, scalable technical architectures, and resolves advanced issues through root cause analysis.

Key Responsibilities:

Implementation & Deployment

• Deploy Netskope CASB (API + Proxy), SWG, DLP (Email/Web/Network), ZTNA (Private Access), NPA, and Prime Advantage package
• Configure traffic steering (Client, GRE, IPsec), policy rules (DLP, URL filtering, access control), and dashboard fine-tuning
• Perform agent rollout across Windows, Mac, and Mobile

Architecture & Design

• Design a secure access architecture for remote users, branch offices, and cloud workloads
• Integrate with identity providers (Azure AD, Okta) and existing security stack (Firewall, Proxy, SIEM)
• Integrate Netskope with SIEM (Splunk, QRadar), EDR tools, and email security
• Configure SSO/SAML authentication

Required Qualifications:

• Bachelor's degree in IT/CS or related field
• 6–8 years of experience (L3 level)
• Preferred certifications: Netskope Certified Cloud Security Architect (NCSA), NSK 100/200/300, CCNA/Security+ (good to have)

Interview Process: 2 rounds (Virtual) + Final round (Face-to-Face)

Job Description – Senior Database Architect (Couchbase)

Experience: 12+ Years

Location: Bangalore

Notice Period: Immediate Joiners Only

Employment Type: Full-Time

Job Summary

We are looking for a highly experienced Senior Database Architect with strong expertise in Couchbase and NoSQL database technologies. The ideal candidate will be responsible for designing enterprise-grade database architectures, driving database performance optimization, ensuring high availability, and providing technical leadership for large-scale, distributed database systems.

Key Responsibilities

• Design and implement scalable, highly available, and secure Couchbase database architectures for enterprise applications.
• Define database architecture strategies, data modeling standards, and best practices.
• Lead Couchbase cluster design, deployment, configuration, replication, and capacity planning.
• Optimize SQL++ (N1QL) queries, indexing strategies, data access patterns, and overall database performance.
• Architect disaster recovery, backup, restore, failover, and business continuity solutions.
• Troubleshoot complex database performance issues and conduct root-cause analysis.
• Lead database migration, modernization, and integration initiatives.
• Establish database security policies, access controls, encryption, and compliance standards.
• Collaborate with application architects, development teams, DevOps, and infrastructure teams to align database architecture with business requirements.
• Evaluate database technologies and recommend solutions based on scalability, performance, availability, and cost.
• Provide technical leadership, mentor database engineers, and conduct architecture and design reviews.
• Develop database monitoring, alerting, automation, and operational excellence strategies.

Required Skills and Qualifications

• 12+ years of experience in database architecture, database engineering, or database administration, with strong hands-on expertise in Couchbase.
• Extensive experience in Couchbase Server architecture, cluster management, replication, and distributed data systems.
• Strong expertise in SQL++/N1QL, indexing, query profiling, and performance tuning.
• In-depth knowledge of NoSQL data modeling, document design, partitioning, and scalability principles.
• Experience designing high-availability, disaster recovery, backup, and recovery solutions.
• Proven experience handling large-scale databases and mission-critical enterprise applications.
• Strong understanding of database security, access management, and performance monitoring.
• Experience with Linux, scripting, and database automation.
• Excellent troubleshooting, analytical, communication, and stakeholder management skills.

Good to Have

• Experience with AWS, Microsoft Azure, or Google Cloud Platform.
• Knowledge of Kubernetes, Docker, and containerized deployments.
• Experience with infrastructure as code, CI/CD pipelines, and automation tools.
• Exposure to database migration, cloud-native architectures, and microservices.
• Experience defining database governance, architecture standards, and technology roadmaps.

Candidate Profile

• Total Experience: 12+ Years
• Core Technology: Couchbase
• Primary Focus: Database Architecture, NoSQL, Performance Optimization, High Availability, and Scalability
• Location: Bangalore
• Joining Requirement: Immediate Joiners Only
• Interview Process: Technical Discussion and Management Round

About Solutionara

Solutionara is an AI-led IT Consulting and Technology Services organization delivering enterprise transformation through Cloud, Integration, Data Engineering, Digital Experience, AI, and Enterprise Applications.

Headquartered in the United States with a Global Delivery Center (GDC) in Noida, India, Solutionara partners with enterprise organizations across retail, manufacturing, distribution, consumer goods, and other industries to design, implement, and support scalable technology solutions.

As a rapidly growing consulting organization, we foster a culture of ownership, innovation, collaboration, and continuous improvement, empowering our teams to contribute beyond their immediate responsibilities while delivering exceptional value to our global clients.

Every team member is expected to think like a consultant and business problem solver—understanding client objectives, challenging assumptions when appropriate, leveraging AI responsibly, and continuously identifying opportunities to improve quality, productivity, and customer outcomes.

AI is embedded into how we work, but it is an enabler—not a replacement for expertise, critical thinking, or accountability.

Role Overview

Solutionara is seeking a Senior Data Engineer with strong data engineering and database expertise to design, build, optimize, and support enterprise-scale data solutions.

This is a hands-on engineering position requiring strong SQL, Python, ETL/ELT, database, cloud, and troubleshooting capabilities. The engineer will work closely with technical leads and client stakeholders while taking ownership of major engineering components.

Location: Noida, India – Onsite | Employment Type: Full-Time | Experience: 6–9 Years

Key Responsibilities

Data Engineering

• Design, develop, test, deploy, and support scalable ETL/ELT pipelines.
• Build ingestion and transformation solutions across databases, APIs, files, and enterprise applications.
• Develop high-quality SQL and Python-based data processing solutions.
• Implement batch and incremental data-processing patterns.
• Develop reusable engineering components and frameworks.
• Support complex data migration and transformation activities.
• Perform source-to-target mapping and technical data analysis.
• Implement pipeline logging, monitoring, exception handling, and recovery mechanisms.

Database & Platform Engineering

• Design and optimize relational database schemas and data structures.
• Analyze and improve SQL/query performance.
• Support indexing, partitioning, storage optimization, and database performance.
• Implement appropriate database security and access controls.
• Support database monitoring, availability, backup/recovery, and operational requirements in collaboration with infrastructure/platform teams.
• Troubleshoot database and pipeline performance issues.
• Contribute to cloud data-platform configuration and optimization.

Data Quality

• Implement automated validation and data-quality controls.
• Develop reconciliation processes between source and target systems.
• Identify duplicate, incomplete, inconsistent, and invalid data.
• Implement cleansing, standardization, validation, and exception-management logic.
• Work with technical and business stakeholders to understand and implement business data rules.

Technical Delivery

• Convert technical designs into reliable production solutions.
• Participate in technical design and code reviews.
• Mentor junior/mid-level engineers.
• Support estimation and technical planning.
• Troubleshoot complex production and integration issues.
• Collaborate with technical leads, application teams, DevOps, QA, BI, and client teams.
• Document technical designs, mappings, configurations, operational procedures, and engineering decisions.

Consulting & AI-Led Working

• Understand the business purpose behind assigned engineering requirements.
• Raise risks, assumptions, dependencies, and potential improvements proactively.
• Communicate effectively with client and internal stakeholders.
• Use AI-assisted tools to improve coding, testing, analysis, documentation, and troubleshooting productivity.
• Independently verify AI-generated code and recommendations before implementation.
• Identify opportunities for engineering automation and process improvement.

Required Qualifications

• 6–9 years of experience in data engineering, database engineering, data integration, or related areas.
• Advanced SQL skills.
• Strong hands-on Python experience.
• Strong ETL/ELT development experience.
• Strong relational database knowledge, such as SQL Server, PostgreSQL, Oracle, or equivalent.
• Experience with data modeling and database design.
• Experience with AWS, Azure, or another major cloud platform.
• Experience with modern data technologies such as Databricks, Snowflake, Redshift, Synapse, Glue, ADF, Airflow, dbt, or equivalent.
• Experience with performance tuning and optimization.
• Experience with data validation and reconciliation.
• Strong troubleshooting and analytical skills.
• Ability to take ownership of engineering deliverables with limited supervision.

Preferred Qualifications

• Experience working with enterprise ERP, CRM, PIM, PLM, MES, or related systems.
• Experience with manufacturing, retail, distribution, or consumer-goods data.
• Experience with CI/CD and infrastructure/platform engineering practices.
• Experience with API and event-driven integrations.
• Previous consulting or technology-services experience.

What Success Looks Like

• Pipelines and databases perform reliably at enterprise scale.
• Engineering solutions are maintainable, reusable, and well documented.
• Data issues are detected and addressed systematically.
• Junior engineers receive effective technical guidance.
• Problems are owned through resolution rather than simply escalated.
• Engineering decisions reflect both technical requirements and client business objectives.

Position: Technical Lead – Forcepoint (Data & Cloud Security)

Company: Inflow Technologies

Location: Bangalore

Work Mode: Work From Office | 5 days/week

Experience Required: Minimum 6 years

Interview Process: 2 rounds (Virtual + Final Face-to-Face)

About Inflow Technologies

Founded in 2005, Inflow is a value-added IT infrastructure distributor covering Networking, Cybersecurity, UC&C, AIDC, Surveillance, Server, Storage & Software across India/South Asia. HQ'd in Bangalore with 20+ locations, backed by a 120+ certified technical team, and ~USD 700M+ annual run-rate revenue.

Position Overview

Acting as the Forcepoint subject matter expert, this role owns end-to-end design, deployment, and troubleshooting of enterprise data and cloud security architectures — spanning DLP, SWG, CASB, and SSE/ZTNA. The role sits at the intersection of solution architecture and hands-on L3 execution: defining security policies, configuring network proxies, and resolving complex support escalations in a client-facing, consultative capacity.

Core Products

• Forcepoint DLP (Endpoint, Network, Web, Email)
• Forcepoint Web Security
• Forcepoint Email Security
• Forcepoint CASB
• Forcepoint Suite / Forcepoint One
• Forcepoint Cloud Security / SSE (incl. ZTNA)
• Forcepoint DSPM

Key Responsibilities

1. Solution Design & Architecture

• Design enterprise architectures: DLP (Endpoint + Network + Discovery), Web Security (Proxy/Hybrid/Cloud), CASB & SaaS protection, Forcepoint Suite/One
• Install & configure Management Server, Policy Engine, Detection Servers, Protectors (Email/Web/Network), Endpoint agents (Windows/Mac)
• Implement EDM/IDM/OCR and data classification policies

2. Web Security (SWG)

• Deploy on-prem (V-series appliances) and cloud SWG/hybrid mode
• Configure transparent/explicit proxy, SSL inspection, URL filtering

3. Email Security

• Configure SMTP routing, DLP email policies, encryption & compliance rules

4. Advanced Policy Configuration

• Design/tune DLP policies (structured + unstructured data), web filtering (user/group/app-based), cloud app governance rules

5. L3 Troubleshooting & RCA (Critical)

• Handle: DLP not detecting over HTTPS, endpoint agent communication failures, web proxy latency/SSL failures, policy not applying to users, email DLP bypass
• Approach: log analysis (Policy Engine, endpoint, web), packet capture/traffic analysis, root cause identification & permanent fix

Qualifications & Certifications (Preferred)

• Bachelor's degree (IT/CS or related)
• Forcepoint Certified Administrator (FCA)
• Forcepoint DLP Specialist
• CCNA / Security+ (nice-to-have)

Company Overview:

Euphoric Thought Technologies is a technology-driven organization focused on building scalable, high-performance data ecosystems that power modern digital enterprises. Operating at the intersection of big data and cloud infrastructure, the company provides robust platforms that enable businesses to process complex information in real-time. With a culture rooted in engineering excellence and technical innovation, Euphoric Thought Technologies supports a diverse portfolio of clients, ensuring their data architecture remains resilient, secure, and highly available as they scale globally.

Role Overview:

As a Senior Database Architect, you will serve as the primary technical authority for the design, implementation, and optimization of our core data platforms. You will work closely with engineering leadership, product managers, and infrastructure teams to translate complex business requirements into high-performing database solutions. Your work will directly influence the reliability and efficiency of our systems, ensuring that our data architecture can handle massive throughput while maintaining strict integrity standards. This role is pivotal in shaping our long-term data strategy and mentoring junior engineers to maintain a high bar for technical excellence.

Key Responsibilities:

- Design and implement highly scalable database architectures using Couchbase to support high-concurrency applications and ensure low-latency data access.

- Lead the end-to-end database design process, including schema modeling, indexing strategies, and partitioning, to optimize performance for large-scale enterprise workloads.

- Oversee comprehensive database administration tasks, including capacity planning, performance tuning, and disaster recovery, to ensure 99.99% system availability.

- Collaborate with cross-functional development teams to troubleshoot complex data bottlenecks and implement automated solutions that streamline deployment pipelines.

- Establish and enforce best practices for data security, compliance, and governance across all production and staging environments to protect sensitive information.

- Mentor engineering teams on advanced database concepts and emerging technologies to foster a culture of continuous learning and technical growth.

Required Skillset:

- Demonstrated expertise in architecting and managing NoSQL solutions, with a deep specialization in Couchbase and its integration within distributed systems.

- Proven ability to design complex database schemas and optimize query performance in high-traffic, mission-critical environments.

- Strong proficiency in database administration, including proactive monitoring, backup/recovery strategies, and infrastructure automation.

- Excellent communication skills with the ability to articulate complex technical trade-offs to non-technical stakeholders and influence architectural decisions.

- Ability to thrive in a collaborative, fast-paced environment in Bangalore, working effectively with both local and distributed teams.

- A Bachelor’s or Master’s degree in Computer Science or a related field, combined with 6 to 12 years of hands-on experience in database architecture and engineering.

Navtech is a premier IT software and services provider. Our mission is to increase public cloud adoption and build cloud-first solutions that become trendsetting platforms of the future.

We have been recognized as the Best Cloud Service Provider by GoodFirms for delivering quality services and results. We strive to innovate and push technology and service boundaries to provide best-in-class technology solutions to our clients globally.

We are a fast-growing company serving clients across the United States, UK and Europe. You will work with a team of talented developers, quality engineers and product managers who are passionate about building impactful technology solutions.

About the Role

We are looking for an experienced Senior SQL Server / SSIS Engineer to design, develop, maintain and optimise database solutions and ETL workflows.

The ideal candidate should have strong hands-on experience with Microsoft SQL Server, SSIS package development, T-SQL programming, database performance tuning and data migration.

You should be comfortable working with existing database systems, troubleshooting complex issues, improving performance and ensuring data integrity, security and availability.

Key Responsibilities

• Design, develop and maintain SQL Server databases, database objects and logical data models.
• Develop, deploy and maintain SSIS packages for ETL processes and data integration.
• Build and optimise complex SQL queries, stored procedures, functions, views and triggers.
• Design and implement data extraction, transformation and loading workflows across multiple systems.
• Perform database migrations, data transformations and validation activities.
• Monitor and troubleshoot SQL Server databases, SSIS packages and SQL Server Agent jobs.
• Identify and resolve performance bottlenecks through query optimisation, indexing and execution plan analysis.
• Handle database administration activities, including upgrades, backups, recovery and maintenance.
• Ensure database performance, security, availability and data integrity.
• Troubleshoot database locking, blocking and resource utilisation issues.
• Collaborate with developers, QA engineers and other stakeholders to understand database requirements.
• Maintain technical documentation for database structures, ETL workflows and processes.
• Provide production support and proactively identify opportunities to improve database performance and reliability.

Who Are We Looking For?

• 6–10 years of experience in SQL Server development and database engineering.
• Strong hands-on experience with Microsoft SQL Server, preferably SQL Server 2016/2017 or above.
• Hands-on experience in developing, deploying and maintaining SSIS packages.
• Strong understanding of ETL processes, data integration and data migration.
• Advanced knowledge of T-SQL, stored procedures, functions, views and triggers.
• Experience in database performance tuning, query optimisation, indexing and execution plans.
• Experience in SQL Server monitoring, troubleshooting and resolving database performance issues.
• Good understanding of SQL Server Agent jobs, database backups, recovery and maintenance.
• Experience resolving database locking conflicts, blocking and resource utilisation issues.
• Knowledge of SQL Server system tables and Dynamic Management Views (DMVs).
• Experience with PowerShell scripting and automation is preferred.
• Exposure to AWS RDS, Azure SQL or other cloud database environments is an advantage.
• Knowledge of PostgreSQL or NoSQL databases is a plus.
• Experience leading or mentoring junior developers is preferred.
• Bachelor's or Master's degree in Computer Science, Software Engineering, IT or a related field.
• Excellent analytical, logical, troubleshooting and communication skills.

Good to Have

• Experience with SSRS or SSAS.
• Knowledge of AWS RDS or Azure SQL.
• Experience with PowerShell scripting.
• Exposure to PostgreSQL or NoSQL databases.
• Relevant Microsoft SQL Server certifications.

Why Navtech?

• Performance reviews and appraisals twice a year.
• Competitive compensation package with additional bonuses and benefits.
• Opportunities to work with renowned clients across the US, UK and Europe.
• Medical insurance coverage for self and immediate family.
• Opportunity to work with a culturally diverse and collaborative team.
• Opportunities for continuous learning and technical growth.