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 — robust qualified 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 capabilities, including feature engineering pipeline

📌 Databricks Architect Hyderabad
🏢 Cogniify
📍 Hyderabad