Senior Data Engineer

Lead and manage Azure data engineering teams across multiple client engagements and domains.

Own end‑to‑end architecture and design of cloud‑native data platforms on Azure (ADF, Synapse, Databricks, ADLS, Azure SQL/SQL MI).

Define standards, frameworks, and reusable patterns for ETL/ELT, data modeling, and lakehouse architectures.

Work closely with enterprise architects, data architects, and business stakeholders to shape data strategy and roadmaps.

Provide guidance and oversight on complex design decisions, performance tuning, security, and cost optimization.

Drive adoption of DevOps, CI/CD, and Infrastructure as Code practices in data engineering teams.

Ensure compliance with data governance, privacy, and regulatory requirements using Azure security and governance capabilities.

Collaborate with AI/ML and GenAI leaders to ensure data platforms support advanced and emerging use cases.

Mentor and develop team members, conduct code and design reviews, and build capabilities within the practice.

Support pre‑sales, solutioning, and client workshops for modern data and analytics opportunities.

Azure Data Factory, Azure Synapse Analytics, Azure Databricks, ADLS Gen2, Data Warehousing & Lakehouse Architecture, PySpark, SQL, Azure SQL / SQL MI, Data Modeling & ETL/ELT Frameworks, Azure Security (RBAC, Key Vault, Encryption, Networking), CI/CD (Azure DevOps/GitHub), Leadership & Team Management, Solution Architecture

Azure Purview, Power BI, Azure Machine Learning / Azure OpenAI Integration, Terraform/Bicep, Cost Optimization on Azure Data Platforms, Agile Delivery (Scrum/Kanban), Stakeholder & Client Management, Multi‑project Delivery Management, Pre‑sales & Proposal Support