Senior Data Engineer - Microsoft Data & AI

The TTEC Digital Microsoft Partner Practice, consisting of over 100 experts globally and growing, have the most recent certifications and experience with Azure AI, Power Platform and Microsoft Business Applications, earning them AI Inner Circle Awards, Eagle Awards, Partner of the Year, and eleven Inner Circle awards, all of which validate our employees' innovative industry solutions that fuel our clients' exceptional customer experience (CX).

We are seeking an experienced Senior Data Engineer to lead the design and delivery of end-to-end data platforms for our clients across the Microsoft Azure Data & AI stack (Azure Data Factory, Microsoft Fabric, Synapse, ADLS Gen2) and Azure Databricks.
This is a senior, hands-on technical role: you will own architecture and data modeling decisions, build production-grade pipelines yourself, and mentor other engineers, while also acting as a credible technical voice with client stakeholders.
The ideal candidate has deep experience delivering the full data lifecycle - ingestion, cleaning, preparation, analytics, and activation - and is comfortable designing the APIs and Model Context Protocol (MCP) integrations that let front-line systems and Data Agents / agentic AI interfaces consume that data.

End-to-End Platform Architecture

Lead the design and build of end-to-end data platforms spanning ingestion, cleaning, preparation, transformation, analytics, and activation, using Azure Data Factory, Microsoft Fabric (Lakehouse, Warehouse, OneLake), and/or Azure Databricks with PySpark, Python, and SQL.

Architect Medallion (Bronze, Silver, Gold) lakehouse patterns using OneLake/Delta Lake, balancing performance, reliability, and cost.

Own data modeling for client engagements - dimensional, normalized, and semantic layers - so that data is trustworthy, reusable, and analytics-ready across domains.

Design batch and streaming ingestion patterns, including Fabric Data Factory/pipelines, Azure Databricks Structured Streaming, and event-driven architectures (e.g., Event Hubs).

Identify and resolve architectural risk and technical debt, and optimize pipelines for performance and cost.

APIs, Data Agents & Activation

Design and build APIs and data services that activate governed data for client analytics, reporting, and downstream applications.

Design MCP (Model Context Protocol) and API-based integrations that let front-line business systems, Fabric/Copilot Data Agents, and other agentic AI interfaces securely query and exchange data with the platform.

Partner with AI/Architecture teams to expose enterprise data to Data Agents and Generative AI applications (e.g., Fabric Data Agents, Azure AI Foundry) in a governed, reusable way.

Implement data governance patterns using Microsoft Purview and/or Unity Catalog, including access control, metadata, and lineage.

Support production operations and incident response for critical pipelines and activation services on client engagements.

Technical Leadership & Client Engagement

Mentor and provide technical direction to Data Engineers, reviewing code, data models, and designs to raise delivery quality.

Act as a trusted technical resource to client stakeholders, explaining architecture trade-offs and design decisions in clear terms.

Contribute to reusable frameworks, accelerators, and engineering standards used across engagements.

Support presales activities where needed, including technical input on estimates, proposals, and solution design.

Evaluate new capabilities across Fabric and Azure Databricks and recommend where they add value for client platforms.