Solution Platform Engineer (Azure Databricks)

Job Title: Solution Platform Engineer (Azure Databricks)

Location: Bangalore, Karnataka, India

Job Type: Full time

Job Summary

This role involves developing solutions for specific requirements. Coming up with ideas/solutions/proposals for pitching and help in conversion conversation and developing Reference implementations on new technologies the technology new in the market or maybe new to the client context.

Responsibilities

• Solutioning developing solutions for specific client requirements. Coming up with ideas/solutions/proposals for pitching and help in conversion conversations
• Developing Reference implementations on new technologies the technology maybe new in the market or maybe new to the client context
• Lead hands-on implementation of Databricks environments including workspace configuration, cluster size and policies, networking, security perimeters, Infrastructure-as-Code, CI/CD and Azure cloud integration.
• Architect and implement Unity Catalog for unified data governance, including metastore setup, catalog/schema design, data lineage, access control policies, and cross-workspace sharing.
• Define and enforce platform-level security standards covering identity management, row/column-level security, credential management, private endpoints, and audit logging.
• Design and review scalable ETL/ELT pipelines using Delta Live Tables, Databricks Workflows, and open-source frameworks.
• Team management responsibilities technical mentoring of the team, interviewing and identifying right candidates for the team and training to develop the skills
• Technical review, mentoring and oversight of technical deliverables.
• Thought leadership Develop a robust Data Engineering practice in conjunction with areas such as AI / Gen AI/ ML / AI Ops etc.
• Collaborate on client pitches, RFP responses, and solution proposals specific to Databricks-based platform modernization engagements.

Requirements

• 12-15 years of experience in Data Engineering, architecting scalable solutions.
• 3+ years hands-on Azure Databricks (Unity Catalog, DLT, Workflows, Delta Lake)
• Databricks Certified Data Engineer Professional or Platform Administrator certification preferred
• Strong technical experience in SQL, Python, PySpark, SparkSQL
• Experience with legacy to modern data platform migration
• Hands on experience with Open-source stack for Lakehouse or Warehouse implementation.
• Working experience with big data (gigabytes to petabytes) in prior projects
• Demonstrated Tech leadership roles in recent past with significant exposure to pre-sales, solutioning and managing clients.
• Hands-on experience and good understandi ng of Data Modelling, Data Governance and Data Security tools and solutions.
• Strong verbal and written communication skills.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.