Senior Data Engineer - Microsoft Data & AI

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.

- 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.

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.

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

- 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.

- 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 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 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.

- 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). - Strong knowledge of data governance and security tooling, including Microsoft Purview and/or Unity Catalog.

- Excellent communication skills, with the ability to explain technical trade-offs to both technical and client audiences. - Relevant Microsoft certifications (e.g., Azure Data Engineer Associate, Fabric Analytics Engineer Associate) and/or Databricks certifications preferred. Salary

Team Overview For eleven years in a row our Microsoft practice has achieved Microsoft's Inner Circle Award designation and we have been recognized as 'Partner of the year for Microsoft Dynamics 365 Service', ‘Partner of the year for Microsoft Dynamics 365 Marketing’ and as a Partner of the year finalist for ‘Intelligent Sales & Marketing’. In addition to our ongoing Gold Partner status, our competencies range from software development and deployment of Dynamics 365, to Power Platform, Azure and Microsoft 365. In mid-2022, the team was also named as one of only a handful of launch partners for the Microsoft D365 Contact Center. Our integrated team approach of experienced CX engineers, developers, data scientists, and solution architects, design, deploy and support complex and fully integrated digital solutions that are focused on creating an exceptional customer experience.

- 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.