Job Description
Data Engineer 4 / Lead Data Engineer
nData Platform & Engineering
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nABOUT THE ROLE:
nWe're looking for a senior data engineer to own how data moves, lives, and is used across the entire org - from ingestion and storage to a unified data store, transformation, serving, and analytics. A core part of this role is deeply understanding how to design and build data lakes / lakehouses from the ground up: choosing storage and table formats, laying out zones, and turning scattered sources into one governed source of truth. You'll treat data as a product across the board - reliable, discoverable, and built for scale. Deep ClickHouse expertise is essential.
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nWHAT YOU'LL DO:
n• Design and operate high-throughput ingestion pipelines (batch + streaming) from diverse sources across the org
n• Own ClickHouse at scale: schema design, partitioning, sharding, materialized views, query optimization, and cluster tuning
n• Build and evolve core data infrastructure — storage, transformation, orchestration, and serving layers used across teams




n• Design and build the data lake / lakehouse from the ground up: storage architecture, zoning (raw → refined → serving), open table formats (Iceberg / Delta / Hudi), and it as the org's single source of truth
n• Treat data as a product org-wide: SLAs, data contracts, lineage, observability, and self-serve access for every consumer
n• Model data end-to-end: from source capture through transformation to the layers analysts, services, and products actually query
n• Own data quality, governance, and correctness across every stage of the flow
n• Partner with engineering, analytics, PMs, and other stakeholders to translate business needs into robust data systems
n• Mentor engineers and set technical direction for the data org
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nWHAT YOU'LL BRING:
n• 7-12 years in data engineering, with senior ownership of production data systems
n• Deep ClickHouse knowledge — not just querying, but operating it: engine selection (

📌 Senior Data Engineer (Bengaluru)
🏢 Super Money
📍 Bengaluru