ETL Architect

AI and Data ETL Architect

If you are available for a Face to face interview on 10th Jan Saturday In Pune. Then please share your CV to with the below details:

Total Experience-

Current CTC-

Expected CTC-

Notice period-

If shortlisted you will be invited for a F2F interview

Role Context

Own ETL architecture patterns, reusable frameworks, and standardization for multi-source data integration. Ensures scalability, maintainability, and governance across ETL delivery, aligning to product roadmap and data model strategy.

Key Responsibilities

• Define reference architecture for ETL/ELT pipelines: ingestion transform serving layers.
• Establish standards for metadata/config-driven ETL, naming, error handling, and replay.
• Design scalable patterns for CDC, incremental processing, backfills, and dependency orchestration.
• Define CI/CD patterns for ETL and govern environment promotions.
• Define observability standards: logs, metrics, lineage, data quality monitoring, SLAs.
• Review designs for performance, cost, security, and operational readiness.
• Align ETL patterns with data modelling and downstream analytics/ML needs.

Must Have

• 8 to 12 years in data engineering with strong ETL architecture ownership.
• Expertise across ETL tools/frameworks (dbt + orchestration, ADF/Glue/Informatica/Talend etc.).
• Strong SQL performance and warehouse optimization knowledge.
• Airflow (or equivalent) architecture-level orchestration design.
• Python capability for framework/tooling design and automation.
• Strong knowledge of cloud data architecture (AWS/Azure/GCP).
• Delivery engineering maturity: CI/CD, versioning, release discipline, rollback strategies.
• Non-technical: strong documentation, workshop facilitation, ability to influence teams.

Good To Have

• Experience with event streaming architectures (Kafka) and lakehouse patterns.
• Exposure to data catalog/lineage tooling and governance practices.
• Familiarity with ML pipeline needs (feature readiness, time semantics).