DATABRICKS ARCHITECT — SENIOR / SPECIALIST

THE ROLE

We're seeking a Databricks Architect (Senior/Specialist level) to serve as a senior technical authority for data architecture and analytics engineering on the Databricks Lakehouse platform across Cognify Analytics and our client engagements. In this role, you will design and own Databricks-based data platform architecture, lead complex data engineering initiatives, and ensure our data capabilities are enterprise-grade, governed, and future-ready. You will bridge data engineering, analytics, and AI/ML — combining deep hands-on expertise in Databricks, Python, and SQL with robust architectural judgment and stakeholder communication.

MUST-HAVE SKILLS (NON-NEGOTIABLE)

* Databricks — hands-on architecture and engineering experience on the Databricks Lakehouse Platform (production-grade, at scale)

* Python — strong professional proficiency for data engineering and pipeline development

* SQL — advanced proficiency for data modeling, transformation, and performance tuning

Candidates without demonstrable,



hands-on experience in all three of the above will not be considered.

WHAT YOU'LL DO

* Own the architecture and design of Databricks-based data platforms, including lakehouse design (Delta Lake), medallion architecture, and unified analytics layers.

* Serve as the senior technical authority on Databricks platform design, providing guidance on architecture, tooling, modeling, and engineering standards across teams and projects.

* Design and build ingestion, transformation, and orchestration pipelines using Python, SQL, PySpark, and Databricks Workflows.

* Architect data mesh and data product strategies, defining domain ownership, data contracts, and self-service consumption patterns on Databricks.

* Establish and evangelize best practices across the data lifecycle: ingestion, transformation, modeling, quality, observability, governance, and consumption.

* Drive the integration of Databricks with AI/ML capabili

📌 Databricks Architect (India)
🏢 Cogniify
📍 India