Description :

About the Role :

This role combines Data Architecture, Data Engineering Leadership, and AI readiness, along with strong client-facing and solutioning responsibilities.

Key Responsibilities :

- Lead RFP/RFI responses, proposals, and solutioning initiatives (technical, operational, financial)

- Engage with clients and stakeholders (including leadership) to translate business challenges into scalable data solutions

- Drive solution workshops, PoCs, and technical presentations

- Architect and build Azure Databricks-based lakehouse platforms (PySpark, SQL, Notebooks)

- Implement Medallion Architecture (Bronze, Silver, Gold) and Delta Lake

- Design and optimize data pipelines, ingestion frameworks, and ETL processes

- Ensure data governance, security, lineage (Unity Catalog) and platform best practices

- Manage and mentor data engineering teams

- Optimize Spark jobs and Databricks clusters for performance and cost

- Work closely with Data Science & AI teams to enable ML, GenAI, and LLM use cases

- Define and drive an AI-ready data strategy and roadmap

Required Skills & Experience :

- 10+ years of experience in Data Engineering / Data Architecture

Strong expertise in :

- Azure Databricks, PySpark, SQL

- ADLS, ADF, Synapse Analytics, Key Vault, Azure Monitor

- Delta Lake, Medallion Architecture, Unity Catalog

- Experience in end-to-end data pipeline architecture and optimization

- Strong exposure to data governance, CI/CD (Azure DevOps, Git)

- Experience in stakeholder management, solutioning, and client engagement

- Exposure to AI/ML, Generative AI, or LLM use cases is a plus