Sales engineer

Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

5+ years of Experience designing, building and testing Java EE applications  

Experience designing, implementing, and integrating Spring and/or Spring Boot 

Good knowledge in recent version of Java, Oracle, JBoss, Hibernate  

Experience in working with Messaging systems like Apache Kafka  

Developing low level designs based on HLD  

Reviewing code to check coding standards and best practices to ensure quality.  

Hands on knowledge in Unit testing Framework like Junit and good understanding on Exception Handling in Java  

Good Knowledge in UI like React or Angular  

Experience designing SOAP / RESTful web services  

Working on bug fixing and improving application performance  

Familiarity with build tools such as Maven and Gradle.  

Familiar with various design and architectural patterns  

Familiarity with continuous integration

Job Details for BMS Commissioning Engineer

Job Title              : BMS Commissioning Engineer

Department      : BA (Building Automation)

Location              : Navi Mumbai-Vashi

Experience        : Minimum 5 years of experience in BMS Engineering, Testing & Commissioning

Desired Qualification: Bachelor’s degree in Electrical/Electronics/Instrumentation Engineering Degree from an accredited college or university

Skills Required : BMS, SCADA, DDC, PLC Engineering, Testing & Commissioning

Salary                   : As per Company Norms

Job Description

Ø Bachelor’s degree in Electrical/Electronics/Instrumentation Engineering Degree from an accredited college or university.

Ø Minimum 3 years of experience in BMS Engineering, Testing & Commissioning

Ø SCADA, PLC, BMS engineering/programming experience preferred.

Ø Strong understanding of OPC, BACnet, Modbus protocol to include IP, ETH and MS/TP

Ø Design, development, commissioning, and testing of Building automation systems

Ø BMS/SCADA/HMI graphic screen development

Ø IO Loop test and Functional test

Ø Basic knowledge on SQL database programming.

Ø Excellent problem-solving and troubleshooting skills

Ø Providing technical support to clients

Ø Experience with current trends in automation and instrumentation to be able to select and implement modern controls architectures

Ø Strong communication and organizational skills

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)
• Proven 2 to 12 years of professional experience in Node.js development
• Strong proficiency in JavaScript, including ES6+ syntax
• Expertise in designing and developing RESTful APIs and microservices architecture
• Experience with popular Node.js frameworks such as Express.js, Nest.js, or Hapi.js
• Experience in modern front-end technologies (e.g., HTML, CSS, JavaScript frameworks like React, Angular, or Vue.js)
• Solid understanding of asynchronous programming, event-driven architecture, and design patterns
• Extensive knowledge of database systems, both SQL and NoSQL (e.g., MongoDB, PostgreSQL, MySQL)
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
• Familiarity with containerization technologies (e.g., Docker, Kubernetes)

• Identify target audience and grow our email list
• Design and implement direct email marketing campaigns
• Proofread emails for clarity, grammar and spelling
• Ensure mobile-friendly email templates
• Write newsletters including all company updates
• Upgrade our email templates using graphics, personalization and advanced features
• Ensure prompt and accurate communication with clients via email to minimize unsubscribes
• Create email databases for lead generation
• Analyze campaign performance and suggest improvements
• Report on sales revenue generated from email marketing efforts
• Ensure emails follow industry policies and best practices

Position name : Full Stack Developer

Job location : Bangalore

Mandatory Skills : NodeJS, Typescript, Javascript, MySQL, VueJS

Job Requirements :

Must have strong and up-to-date knowledge of NodeJS and class-based programming.

Professional experience building single page applications using React, Vue.js.

Must have strong and up-to-date knowledge of JavaScript ES6 and higher.

You can make a solid relational data model and have a deep knowledge of SQL and MySQL.

You have a good understanding of HTTP and know how to make a reliable and modern web API (REST).

Should have worked on at least one large complex web application.

You Should know how to write clean and flexible object-oriented code.

You must have a good understanding of sync programming concepts.

You Should work daily with tools like Git, NPM, Composer and a proper IDE.

You Should able to deliver POCs, experiments and technology evaluations following design thinking practices.

Should have experience in writing the clean code and a pragmatic program.

RESPONSIBILITIES:-

 As a  Business  Development  Manager  working under  FMCG  segments, an ideal candidate must perform the following responsibilities:

·       Approaching  potential  leads  a  close  them  within  a  stipulated  time  frame.

·       Create  exclusive  distributors,   exclusive super stockist and business associated for the company towards business growth.

·       Finding and developing new markets and improving sales.

REQUIREMENTS:

·       Bachelor’s degree in business, marketing or related field.

·       Experience in sales, marketing or related field.

·       Strong communication skills.

·       Excellent organisational skills.

• Designing and developing user interfaces using angular.Js best practices.
• Adapting interface for modern internet applications using the latest front-end technologies.
• Writing JavaScript, CSS, and HTML.
• Developing product analysis tasks.
• Making complex technical and design decisions for AngularJS projects.
• Developing application codes and unit tests in AngularJS, Java Technologies, and Rest Web Services.
• Conducting performance tests.
• Consulting with the design team.
• Ensuring high performance of applications and providing support.

>> Qualification

• Bachelor’s degree in computer science, computer engineering or similar.
• Previous work experience as an angular JS developer.
• Proficient in CSS, HTML, and writing cross-browser compatible code.
• Experience using JavaScript building tools like Gulp or Grunt.
• Knowledge of JavaScript MV-VM/MVC frameworks including Angular JS.
• Excellent project management skills.
• Proven experience implementing front-end and back-end JavaScript applications.
• Excellent communication skills.
• Critical thinker and good problem-solver.