Python Database Administrator

Senior Database Administrator (DBA)

Database Reliability & Performance  •  Senior Individual Contributor

• Experience: 6–9 years in production database administration / engineering
• Level: Senior Individual Contributor (hands-on)
• Function: Data Platform — reliability, performance, and governance across relational and distributed SQL & NoSQL DBs.

About the Role

We are hiring a Senior Database Administrator to own the health, performance, and reliability of the data layer behind a high-scale, multi-tenant platform. Our environment spans several independent PostgreSQL database instances, a cache-first read tier, change-data-capture pipeline, analytics and archival stores. Should be capable of implementing NoSQL stores (Cassandra / ScyllaDB) & MySQL  end to end as we scale.

This is a hands-on senior IC role for someone who has run demanding production databases and wants full ownership: partitioning and maintenance, performance tuning, monitoring, uptime, disaster recovery, and the security and data-governance documentation that keeps a regulated, multi-tenant platform audit-ready. You will work closely with, and take direction from, engineering leadership — translating priorities into a well-run, well-documented data platform.

What You'll Own

PostgreSQL Depth

• Administer multiple production PostgreSQL instances (v16+), including schema/DDL review, migrations, and release coordination.
• Design and maintain table partitioning strategies (range/hash/time-based) and automate partition lifecycle — creation, retention windows, and safe drops.
• Own query and instance performance tuning: EXPLAIN/ANALYZE, indexing strategy, autovacuum/bloat management, connection pooling (e.g. PgBouncer), and parameter-group tuning.
• Execute zero-downtime schema changes using expand–migrate–contract / blue-green patterns; assess lock impact and avoid long ACCESS EXCLUSIVE locks on hot tables.
• Manage replica topology (writer/reader endpoints), replication lag, and read-scaling as load grows.
• Partner with app teams on migration tooling (e.g. Flyway) and paired forward/rollback scripts; enforce idempotent, reviewed, tested DDL.

NoSQL & Scale

• Data-model, deploy, and operate distributed NoSQL clusters — Cassandra and/or ScyllaDB — including partition/clustering key design, compaction strategy, repair, and node operations (bootstrap, decommission, scale-out).
• Lead the planned migration of high-volume payload tables from partitioned PostgreSQL to Cassandra/ScyllaDB: capacity planning, dual-write/backfill design, cutover, and validation.
• Tune distributed-store read/write paths, consistency levels, and cluster sizing for predictable latency at scale.
• Support the cache-first architecture (Redis) and change-data-capture / streaming pipelines (e.g. Kafka) that move data to analytics and cold-archival stores.

Operations, Reliability & DR

• Own database uptime and SLOs; build and maintain monitoring, alerting, and dashboards for the key signals (latency, replication lag, CPU/IO, connections, vacuum lag, error rates).
• Define and regularly test backup and disaster-recovery strategy — RPO/RTO targets, point-in-time recovery, restore drills, and cross-AZ / future multi-region readiness.
• Drive incident response for database-related issues: triage, mitigation, root-cause analysis, and follow-up actions.
• Write and maintain runbooks (partition maintenance, failover, archival, DR, migration procedures) and participate in an on-call rotation for the data layer.
• Establish production-change discipline: pre-flight and post-deploy verification, rollback criteria, and backup verification before destructive operations.

Security, Governance & Documentation

• Implement and maintain database access control — least-privilege roles, schema-scoped permissions, and row-level security (RLS) for multi-tenant isolation.
• Own data-governance documentation: PII maps, per-table retention policies, audit-readiness, and the controls behind privacy-regulation compliance (e.g. GDPR / DPDP-style erasure and legal-hold workflows).
• Author and maintain architecture decision records (ADRs), schema documentation, and monitoring/runbook docs so the data platform is legible to the wider team.
• Uphold encryption-at-rest/in-transit posture and safe handling of sensitive columns; keep the data layer aligned with the platform's compliance requirements.

Coding & Automation Bar (Required)

This role is automation-first, not click-ops. The right candidate treats repetitive database work as something to script away and can drop into application code when a problem demands it.

• Strong scripting in Python and Bash for automation of maintenance, backups, partition management, backfills, and health checks.
• Comfortable with infrastructure-as-code (e.g. Terraform) and configuration management (e.g. Ansible) for reproducible database infrastructure.
• Solid SQL and PL/pgSQL; able to read and debug application-layer database code and, worst case, write or patch application code (e.g. Python/Node/Java) to unblock a fix.
• Fluent with Git-based workflows, code review, and CI for database migrations and tooling.

Required Qualifications

• 6–9 years operating relational databases in demanding production environments, with deep PostgreSQL expertise (internals, partitioning, replication, performance tuning).
• Hands-on experience running at least one distributed NoSQL store in production — Cassandra or ScyllaDB strongly preferred (other wide-column/distributed stores considered).
• Proven ownership of backup/DR, monitoring, and incident response for production databases.
• Strong scripting/automation background (Python, Bash) and experience with IaC.
• Experience with managed cloud databases (AWS RDS or equivalent) and understanding of instance/parameter-group tuning, replicas, and failover.
• Experience designing for multi-tenancy and data isolation at scale.
• Clear written communication — able to produce runbooks, ADRs, and governance docs a team can rely on.

Nice to Have

• Experience migrating workloads from PostgreSQL to Cassandra/ScyllaDB (or similar relational-to-distributed migrations).
• Familiarity with Redis as a cache tier and with CDC / streaming pipelines (e.g. Kafka, Debezium).
• Exposure to Flyway (or Liquibase), pgTAP or similar schema testing, and PgBouncer.
• Working knowledge of privacy regulations (GDPR, India DPDP) and audit/compliance processes.

How You Work

• Ownership mindset — takes a directive and runs it to done, with sound judgment on trade-offs.
• Reliability-first and detail-oriented; disciplined about verification, rollback, and documentation.
• Collaborative in a high-performing engineering team; communicates clearly with developers and leadership.
• Pragmatic and scale-aware — designs for where the platform is going, not just where it is.

Qualifications

● 3-8 years experience in Cloud Database Administration

● Proficient in PostgreSQL database management, including installation, configuration, and performance tuning.

● Experience with Amazon RDS or Cloud SQL and managing databases in cloud environments.

● Proficient in PostgreSQL/MySQL database management, including installation, configuration, and performance tuning.

● Proven experience as a Database Administrator with a focus on

PostgreSQL/MySQL.

● In-depth knowledge of database design, implementation, and management for both PostgreSQL/MySQL environments.

● Familiarity with database security, backup procedures, and performance tuning for both systems.

● Strong analytical and problem-solving skills.

● Excellent communication and collaboration abilities.

● Relevant certifications (e.g., PostgreSQL Certified Professional, MySQLDatabase Administrator) are a plus.

Skills:

● Expertise in PostgreSQL/MySQL database management systems.

● SQL programming and query optimization for both databases.

● Data modeling and database design for PostgreSQL/MySQL.

● Backup and recovery procedures for both environments.

● Performance tuning and optimization for PostgreSQL/MySQL.

● Security protocols and measures for PostgreSQL/MySQL.

● Capacity planning and scalability for both systems.

Job Description (JD) for the MySQL Database Administrator role

Experience: 4-8 Years 

Location : Mumbai 

Job Title: MySQL Database Administrator 

Responsibilities 

• Provision and configure MySQL database instances in clustered and non-clustered environments. 
• Ensure database performance, security, availability, and reliability. 
• Prepare and maintain database documentation, technical specifications, and operational procedures. 
• Perform database upgrades, backups, restoration, recovery, and migrations. 
• Monitor database and server resource utilization and perform performance tuning and optimization. 
• Manage database users, access privileges, periodic access reviews, audits, and documentation. 
• Configure, monitor, and troubleshoot MySQL replication. 
• Collaborate with application, infrastructure, development, and other stakeholder teams to resolve database-related issues. 
• Provide database and application deployment support, as required. 
• Perform database backup and restoration validation, data integrity checks, and post-migration validations. 
• Follow database change management, security, and operational best practices. 

Skills and Qualifications 

• Strong hands-on experience in MySQL database administration. 
• Good working knowledge of recent MySQL versions, preferably MySQL 8.x. 
• Understanding of MySQL storage engines, including InnoDB and MyISAM. 
• Practical experience in configuring, monitoring, and troubleshooting MySQL replication. 
• Knowledge of MySQL administration best practices, security, and high availability. 
• Proficiency in writing, analyzing, and optimising SQL queries. 
• Experience with MySQL features such as the Event Scheduler, audit logging, and performance monitoring. 
• Ability to assess database resource requirements based on application workloads and technical specifications. 
• Familiarity with other SQL and NoSQL databases, such as PostgreSQL and MongoDB. 
• Understanding of MySQL limitations compared with other relational database platforms and the ability to identify suitable workarounds. 
• Working knowledge of version control tools such as Git, SVN, or CVS. 
• Graduate degree in a relevant discipline and good verbal and written communication skills. 

Good to Have 

• Basic Linux administration, command-line troubleshooting, and Bash scripting skills. 
• Familiarity with application server frameworks such as JBoss, GlassFish, and WildFly. 

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!

Key Responsibilities

Administer, monitor, and support database platforms including Couchbase, PostgreSQL, and Oracle.

Perform database performance tuning, optimization, and troubleshooting.

Write and optimize complex SQL queries, stored procedures, and scripts.

Ensure database availability, reliability, backup, recovery, and security compliance.

Support production incidents, root cause analysis, and ongoing operational improvements.

Collaborate with application, infrastructure, and support teams to resolve database-related issues.

Required Skills

5 to 10 years of hands-on experience in Database Administration.

Strong experience with Couchbase, PostgreSQL, and/or Oracle databases.

Expertise in performance tuning, query optimization, indexing, and SQL development (Complex Queries, Stored Procedures, Scripts)

Experience with database monitoring, backup, recovery, and maintenance activities.

Production Support, Troubleshooting & RCA

Strong analytical and troubleshooting skills.

Nice to Have

Experience with cloud platforms such as AWS, Azure, or GCP.

Exposure to database automation and scripting

We are looking for a Database Engineer (PostgreSQL) with 1-5 years of experience to manage, optimize, and maintain PostgreSQL databases. The ideal candidate will have expertise in PostgreSQL, SQL Optimization, Database Design, Performance Tuning, Data Migration, and Backup & Recovery.

Responsibilities:

• Design, develop, and maintain PostgreSQL databases.
• Optimize SQL queries and improve database performance.
• Perform database design, indexing, and schema management.
• Execute data migration, backup, recovery, and disaster recovery activities.
• Monitor database health and troubleshoot performance issues.
• Collaborate with development teams to ensure scalable database solutions.

Requirements:

• 1-5 years of PostgreSQL database experience.
• Strong SQL and performance tuning skills.
• Knowledge of database backup, recovery, and migration processes.

Data Platform Engineer

Design, automate, and scale our data platform — this is an engineering role, not a traditional "DBA job.

Must-have :

• Data modeling & schema design (from first principles, not just maintenance)
• PostgreSQL (deep, hands-on — partitioning, replication, tuning)
• Any distributed NoSQL store (Cassandra, ScyllaDB, or similar wide-column/distributed DB) (real production experience)
• Python (automation & tooling, not just scripting)
• DevOps & CI/CD (building pipelines, not just using them)
• Terraform (infrastructure-as-code)

You'll:

• Design schemas, partitioning strategies, and lead the Postgres → Cassandra migration end-to-end
• Own PostgreSQL performance, replication, and zero-downtime schema changes
• Build Python-based automation to eliminate repetitive DB work
• Own CI/CD pipelines and Terraform-based infra provisioning
• Drive uptime, DR, monitoring, and incident response
• Own multi-tenant security (RLS, least-privilege access) and data governance

Experience: 4–9 years, data/database/platform engineering in demanding production environments.

Bonus: Kafka/Debezium (CDC), Redis, Flyway/Liquibase, GDPR/DPDP exposure.

We are looking for a skilled Python Developer to design, develop, and maintain robust backend systems. You will be responsible for building scalable web applications using the Flask micro-framework and managing high-performance NoSQL data storage with MongoDB. Your role involves creating RESTful APIs, optimizing database queries, and ensuring seamless integration between the backend logic and frontend components.

Key Responsibilities

• API Development: Design and implement scalable, secure RESTful APIs using Flask.
• Database Management: Architect and maintain MongoDB schemas; develop complex aggregation pipelines and optimize query performance.
• Backend Logic: Write clean, efficient, and testable Python code to handle server-side logic and data processing.
• Integration: Integrate third-party services and internal data sources using libraries like Requests or Flask-PyMongo.
• Performance Optimization: Identify and resolve bottlenecks in the application and database layers to ensure low latency.
• Testing & Security: Implement unit tests (using pytest or unittest) and follow security best practices (OAuth2, JWT, data encryption).
• Collaboration: Work closely with frontend developers to integrate user-facing elements and with DevOps to support deployment.

Required Technical Skills

CategoryRequirementsLanguageExpert-level Python (OOP, decorators, generators, and async programming).Frameworks Strong experience with Flask (routing, blueprints, middleware).DatabaseProficiency in MongoDB (BSON, indexing, sharding, and aggregation framework).ODMs/DriversExperience with PyMongo or MongoEngine.ArchitectureSolid understanding of RESTful API design and Microservices.Tools/DevOpsVersion control with Git; familiarity with Docker and CI/CD pipelines

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.

Backend Developers

• Contract To Hire (Initial Engagement: 6 months)

Experience: 5+ years

Mandatory Skills:

● Node.js

● Python

● MongoDB

● PostgreSQL

● REST API design and development

● Backend architecture and service design

● Database design, indexing and query optimisation

● Performance tuning

● Authentication/authorisation

● Third-party integrations

● Asynchronous processing and background jobs

● Logging, monitoring and debugging

● Git and collaborative development

● Scalable, maintainable and testable backend services

● Architecture discussions, code reviews, debugging and production support

Good to have:

● Microservices

● Docker

● Cloud platforms

● Redis

● Message queues

● CI/CD

● Observability