What are we looking for
real solver?
Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer 'best practices,' and build lakehouse solutions on Databricks that make the future possible NOW, then you're speaking our language.
Your Responsibilities
What you will wake up to solve.
Lead Lakehouse Design & Data Architecture: Architect and lead the end-to-end development of scalable, cloud-native lakehouse platforms on Databricks. You'll guide the squad on critical architectural decisions—Batch vs. Streaming, ETL vs. ELT, medallion layering (Bronze/Silver/Gold)—while remaining 100% hands-on, contributing high-quality, production-grade code in PySpark and SQL.
Build High-Velocity Data Pipelines on Databricks: Drive the implementation of robust ingestion and transformation frameworks using Apache Spark, Delta Lake, and Delta Live Tables. You will build integration layers that unify heterogeneous sources (SaaS, RDBMS, NoSQL,
streaming) into high-availability Delta Lakehouse environments, orchestrated with Databricks Workflows.
Drive AI-Ready Data Strategy: Be the expert in designing Databricks foundations optimized for AI and Machine Learning. You will champion Unity Catalog for governance and lineage, MLflow for the ML lifecycle, and feature-ready "clean room" environments that fuel advanced analytics and generative AI models.
Partner with Clients as a Technical DRI: Act as the Directly Responsible Individual for client success. Translate ambiguous business questions into elegant data services on the Lakehouse, manage project deliverables using Agile methodologies, and ensure that the data provided is accurate, consistent, and mission-critical.
Troubleshoot & Optimize for Scale & Cost: Own the reliability and economics of the platform. You will proactively monitor pipelines, tune Spark jobs and cluster configurati
📌 Lead Data Engineer (India)
🏢 Searce
📍 India
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