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. Our vision is the same, a place where employees know they can thrive.

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

What You'll Bring to the Role

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical discipline.
• 5-8 years of experience in data engineering, with strong ownership of production data pipelines on Azure.
• Expert-level proficiency in Python, SQL, and PySpark for building distributed data pipelines at scale.
• Deep hands-on experience with the Microsoft Azure Data & AI stack (Azure Data Factory, Microsoft Fabric, Synapse, ADLS Gen2) and/or Azure Databricks, including Delta Lake/OneLake and Medallion architecture patterns.
• Strong background in data modeling, schema design, and enterprise data architecture across the full lifecycle from ingestion to activation.
• Experience designing APIs and MCP-based integrations that exchange data with front-line systems, Data Agents, and other agentic AI interfaces.
• Experience with orchestration and CI/CD (Fabric pipelines, Azure Data Factory, Databricks Workflows, Azure DevOps).