- 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 Skilled or Platform Administrator certification preferred

- Strong technical experience in SQL, Python, PySpark, SparkSQL

- Experience with legacy to up-to-date 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.

- Solid verbal and written communication skills.

Benefits

- Competitive salary and performance-based bonuses.

- Comprehensive insurance plans.

- Collaborative and supportive work environment.

- Chance to learn and grow with a talented team.

- A positive and fun work environment.

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