Data/Analytics Lead

About the job: 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 modern 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 KafkaData 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 Who can apply: Only those candidates can apply who: have minimum 6 years of experience are Computer Science Engineering students Salary: ₹ 25,00,000 - 32,00,000 /year Experience: 6 year(s) Deadline: 2026-09-30 23:59:59