Lead Data Engineer

Role: Lead Data Engineer

Location: Chennai (Work from Office)

About the Role

We are looking for an experienced Lead Data Engineer to drive the design, development, and management of our data infrastructure while leading a team of 4 engineers. This role combines strong hands-on technical expertise with people management and delivery ownership and requires someone comfortable using modern AI-assisted (vibe coding) tools to rapidly build and ship data products, while maintaining the infrastructure that powers them.

Key Responsibilities

Technical Leadership & Development

• Architect, build, and optimize scalable data pipelines using Databricks, PySpark, and Python

• Write and review complex SQL queries for data transformation, validation, and performance tuning

• Design and maintain data models and ETL/ELT workflows across Databricks environments

• Support or lead development of ML models/pipelines for data products (feature engineering, model training, deployment, and monitoring)

• Build data product applications using AI-assisted vibe coding tools (Claude Code, Cursor, or similar) to rapidly prototype, develop, and ship internal tools, dashboards, and data-driven applications

• Establish and enforce best practices for code quality, version control, and CI/CD using Git

• Champion the adoption of AI-assisted development tools across the team to improve developer velocity, code review efficiency, and documentation

• Conduct code reviews, architecture reviews, and technical design sessions

Infrastructure & Platform Ownership

• Own and maintain the infrastructure underlying data products — compute clusters, transactional databases, job orchestration, environments, deployment pipelines, and monitoring

• Ensure data pipeline reliability, observability, and cost optimization across Databricks

• Manage access controls, environment configuration, and platform scaling for data product apps

• Troubleshoot infrastructure issues end-to-end (compute, storage, networking, connectivity)

Team & People Management

• Lead, mentor, and grow a team of 4 engineers, providing technical guidance and career development support

• Conduct 1:1s, performance reviews, and skill-development planning for team members

• Foster a culture of continuous learning and rapid upskilling in response to evolving tech/business needs

• Encourage and enable the team to adopt new tools and frameworks quickly

Delivery & Process Management

• Own sprint planning, backlog grooming, and sprint retrospectives for the team (Agile/Scrum)

• Break down business requirements into well-scoped technical tasks and user stories

• Track sprint velocity, manage blockers, and ensure timely delivery of data engineering initiatives

• Coordinate with cross-functional stakeholders (analytics, product, business teams) to align priorities

Required Skills & Experience

• 8+ years of experience in data engineering, with at least 2+ years in a technical leadership or team lead role

• Strong hands-on expertise in Databricks (notebooks, clusters, job orchestration, Delta Lake)

• Proficiency in PySpark and Python for large-scale data processing

• Advanced SQL skills (query optimization, stored procedures, performance tuning)

• Experience with Microsoft SQL Server (T-SQL, database design, troubleshooting)

• Experience with OCR data extraction (Azure Document Intelligence, AWS Textract)

• Solid understanding of Git workflows (branching strategies, PR reviews, merge conflict resolution)

• Hands-on experience building applications using AI coding tools / vibe coding (Claude Code, Cursor, GitHub Copilot, or similar)

• Experience maintaining and troubleshooting infrastructure supporting data products (compute, orchestration, deployment)

• Working knowledge of Machine Learning concepts and lifecycle (model training, deployment, monitoring)

• Proven experience running Agile sprint planning, backlog management, and team ceremonies

• Experience managing and mentoring a small engineering team (3-5 members)

• Demonstrated ability to quickly learn and adopt new technologies in response to business needs

Preferred Qualifications

• Experience with cloud platforms (Azure preferred, Databricks stack)

• Familiarity with CI/CD pipelines (Azure DevOps, GitHub Actions, etc.)

• Experience with data governance frameworks and data quality tools

• Bachelor's/Master's degree in Computer Science, Engineering, or related field

Soft Skills

• Strong communication skills to bridge technical and non-technical stakeholders

• Ability to balance hands-on coding with people management responsibilities

• High adaptability — comfortable navigating ambiguity and fast-changing tech/business priorities

• Problem-solving mindset with a focus on scalable, maintainable solutions