Senior Data Engineer - Microsoft Data & AI

At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process.

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.

What You’ll Be Doing
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, One Lake), and/or Azure Databricks with PySpark, Python, and SQL

Architect Medallion (Bronze, Silver, Gold) lakehouse patterns using One Lake/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

What You’ll Bring To…