Lead Data Engineer
- 5 - 12 years of experience
- Chennai/Bengaluru
- Full-Time (Hybrid)
Key Responsibilities
- 5–8 years of progressive experience in data engineering, data platform, or data architecture roles, with clear time spent as an architect or technical lead.
- Production experience designing and delivering solutions on a modern cloud data platform — Databricks or Snowflake (Databricks strongly preferred).
- Demonstrated experience defining reference architectures, platform standards, and patterns adopted by multiple teams.
- Strong, hands-on proficiency in SQL and Python (PySpark a plus) — able to prototype, review code, and debug production issues.
- Deep expertise in data modeling — Kimball dimensional modeling, Data Vault 2.0, and medallion architecture — with a clear point of view on when each applies.
- Hands-on experience with ETL/ELT design patterns, streaming / real-time architectures, and ingestion from heterogeneous sources (ERPs, SaaS APIs, databases, files, events).
- Solid experience designing for data governance — access controls, PII handling, row/column-level security, masking, tokenization, data quality, lineage, and catalogs.
- Production experience with at least one major cloud provider (Azure, AWS, or GCP); Azure preferred.
- Working knowledge of orchestration (Airflow, Azure Data Factory, Databricks Workflows, dbt) and CI/CD for data workloads.
- Experience designing BI and serving layers on top of the platform for modern BI tools (Power BI, Tableau, Looker, or similar).
- Strong stakeholder management, technical writing, and presentation skills — able to produce architecture decision records (ADRs), diagrams, and standards documents.
- Bachelor’s degree in computer science, Engineering, or equivalent practical experience.
