Senior Data Engineer building Palantir Foundry data solutions for Unit8, a Swiss AI and data analytics consultancy. Supporting client delivery and establishing its Canadian market presence.
About the role
- Senior Data Engineer architecting Azure and Databricks data platforms for TTEC Digital’s client experience solutions. Building governed pipelines, APIs, MCP integrations, and agentic AI data services.
Responsibilities
- Lead the design and build of end-to-end data platforms across ingestion, cleaning, preparation, transformation, analytics, and activation
- Architect Medallion lakehouse patterns using OneLake/Delta Lake
- Own dimensional, normalized, and semantic data modeling for client engagements
- Design batch and streaming ingestion patterns using Fabric Data Factory, Azure Databricks Structured Streaming, and Event Hubs
- Identify architectural risk and technical debt, and optimize pipelines for performance and cost
- Design APIs and data services for governed data activation
- Design MCP and API-based integrations with front-line systems, Fabric/Copilot Data Agents, and agentic AI interfaces
- Partner with AI and Architecture teams to expose enterprise data to Data Agents and Generative AI applications
- Implement data governance using Microsoft Purview and/or Unity Catalog
- Support production operations and incident response for critical pipelines and activation services
- Mentor Data Engineers and provide technical direction through code, data model, and design reviews
- Act as a trusted technical resource to client stakeholders
- Contribute to reusable frameworks, accelerators, and engineering standards
- Support presales activities with estimates, proposals, and solution design
- Evaluate Fabric and Azure Databricks capabilities and recommend their use
Requirements
- 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
- Deep hands-on experience with Azure Data Factory, Microsoft Fabric, Synapse, ADLS Gen2, and/or Azure Databricks
- Experience with Delta Lake/OneLake and Medallion architecture patterns
- Strong background in data modeling, schema design, and enterprise data architecture
- Experience designing APIs and MCP-based integrations
- Experience with orchestration and CI/CD, including Fabric pipelines, Azure Data Factory, Databricks Workflows, and Azure DevOps
- Strong knowledge of Microsoft Purview and/or Unity Catalog
- Ability to mentor engineers and lead technical design discussions on client-facing engagements
- Ability to troubleshoot complex, large-scale data issues independently
- Excellent communication skills for explaining technical trade-offs to technical and client audiences
- Relevant Microsoft and/or Databricks certifications preferred
Benefits
- Great Place To Work 2024-2025 certified employer
- Equal opportunity and diverse, inclusive workforce commitment
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