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. Benefits

Competitive salary and performance-based bonuses.

Comprehensive insurance plans.

Collaborative and supportive work workplace.

Chance to learn and grow with a talented team.

A positive and fun work environment.

📌 Solution Platform Engineer (Azure Databricks) (Karnataka)
🏢 Prescience Decision Solutions
📍 Karnataka