Data lake Architect

JOB RESPONSIBILITIES:

Architect and manage Data Lake (Spark-based) platform.

Design and govern:

1. Data ingestion (batch and streaming)

2. Transformation and enrichment pipelines

3. Use Airflow (or equivalent) for orchestration and scheduling.

Integrate data from:

4. DMS and enterprise applications

5. Event streams (Kafka)

6. External and partner systems

Define data models and schemas optimized for:

7. Analytics & reporting

8. AI / ML use cases

9. Agentic workflows

10. Ensure data quality, lineage, performance, and scalability.

11. Work closely with Framework and Enterprise Architects to align platforms.

Required Skills & Experience

8–12 years in data engineering / data architecture.

Strong hands-on expertise in:

12. Spark-based data lakes

13. Airflow or similar orchestration tools

14. Large-scale ETL / ELT pipelines

15. Experience handling enterprise-scale, multi-source data.

Job Type: Contractual / Temporary
Contract length: 6 months

Pay: ₹568,796.46 - ₹1,900,000.00 per year

Work Location: Remote