Hiring for a next-generation technology company building sovereign, secure, and scalable digital platforms across AI, Web3.0, cloud, and health-tech.
Lead the design and implementation of a contemporary analytics platform using 100% open-source technologies. Build scalable data pipelines, lake house architecture, and BI infrastructure from scratch. Manage 4-6 data engineers.

Key Responsibilities
Leadership & Strategy
•Lead team of 4-6 data engineers •Define analytics platform architecture and roadmap •Build data platform from scratch using open-source tools •Establish data governance and quality frameworks
Platform Architecture •Design end-to-end analytics platform on open-source stack •Build data lake house on Cloudian object storage •Architect ClickHouse for OLAP (sub-second queries) •Design multi-source ingestion (APIs, databases, SaaS) • Implement real-time and batch pipelines
Data Ingestion & ETL •Build pipelines using Airbyte (CDC, connectors, validation)



•Orchestrate workflows with Apache Airflow (DAGs, monitoring, error handling) •Design incremental/full-load strategies,•Data Streaming using Kafka
Data Warehouse & Analytics •Optimize ClickHouse (materialized views, distributed tables) •Design dimensional models (star/snowflake schemas) •Build semantic layers for consistent metrics
BI Platform •Deploy Apache Superset for self-service analytics • Integrate Power BI (optional) • Implement Redis caching for performance
Data Quality & Governance • Implement quality frameworks (Great Expectations, Soda) •Build data reconciliation automation •Establish data lineage, cataloging, compliance (GDPR)
Performance & Automation •Write Python automation tools and custom connectors,• Implement CI/CD for data pipelines •Optimize costs and performance

📌 Data/Analytics Lead (Noida)
🏢 Hire Right Search Partners
📍 Noida