Technical Lead | Databricks, Data Engineering

Sigmoid is a data engineering and analytics services company, and this technical lead role is built around Databricks specifically. Services work has a different shape from product engineering: you move between client environments, the problems arrive already framed by a business, and breadth across the modern data stack matters more than depth in one codebase. The upside is exposure, since you see many architectures in a couple of years rather than one. Stated bar is eight or more years of relevant work with a computer science or related technical degree required. The Champion in the title signals this is a specialist track, so expect to be the person the organisation puts in front of clients on Databricks architecture questions. Good fit if you want platform breadth rather than a single product.

Published requirement is 8+ years of relevant work experience, and a computer science or related technical discipline degree is stated as required rather than preferred, which is worth noting because most postings on this board treat the degree as optional. The role is a Technical Lead position with a Databricks specialism, based in Bengaluru. What Sigmoid does and why that changes the job: Sigmoid enables business transformation using data and analytics, working as a services and consulting partner rather than shipping its own product. In practice that means your work lands inside client environments, often under a fixed timeline agreed commercially before you were involved, and the technical choices are constrained by what the client already runs. The good version of this is genuine breadth: in two years you may see more data architectures than a product engineer sees in five, and Databricks specialists with real delivery history are in demand. The harder version is less control over technical direction and more time spent on stakeholder alignment. Both are true and you should decide which matters more to you. Expect the technical scope to cover Databricks and Spark, lakehouse architecture, pipeline design and orchestration, performance and cost optimisation on cloud data platforms, and enough SQL and Python to be hands on rather than advisory. The Lead title here means technical leadership of a delivery team, so anticipate design ownership plus review responsibility. One thing to check before applying: Sigmoid also advertises roles that turn out to be fixed term contracts despite carrying full time employment metadata, so confirm the engagement type and duration in writing early. This particular requisition shows no contract language. Good fit for a data engineer with eight or more years who wants a Databricks specialist track.