Solutions Architect – Data Engineering (Databricks)
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 solutions that make the future possible NOW, then you're speaking our language.
Your Responsibilities
what you will wake up to solve.
You are not just a Solutions Architect; you are a futurifier of our data universe and the primary enabler of our AI ambitions. With a deep-seated passion for data engineering, you will architect and build the foundational Lakehouse infrastructure—on Databricks—that powers the customer's entire data intelligence ecosystem.
As the Directly Responsible Individual (DRI) for our enterprise-grade Databricks platforms, you own the outcome, end-to-end. You are the definitive solver for our customers' most complex data challenges, leveraging a powerful tech stack centered on the Databricks Lakehouse Platform (Apache Spark, Delta Lake, Unity Catalog,
Databricks Workflows, MLflow) across major clouds (AWS, Azure, GCP). This is a hands-on-keys role where you won't just design solutions—you'll build them, break them, and perfect them.
Solution Design & Pre-Sales Excellence: Partner with sales, engineering, and delivery teams to lead architecture workshops, solution design sessions, and technical roadmap discussions. Shape client-ready proposals and proofs-of-concept that position the Databricks Lakehouse as the platform of choice, and ensure successful, measurable project delivery.
Design Core Data Engineering on Databricks: Master data modeling and medallion (Bronze/Silver/Gold) architecture, architecting high-performance ingestion and transformation pipelines with Apache Spark, Delta Lake, and Delta Live Tables while ensuring data quality and governance throughout the data lifecycle.
Enable Cloud & AI: Design and implement Databricks solutions ac
📌 Databricks Solutions Architect (India)
🏢 Searce
📍 India