Senior Data Engineer – Data & AI

🕒 October 1

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

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TTEC Digital

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

TTEC Digital is a leader in customer experience transformation, combining technology and human empathy to enhance customer interactions. With a focus on artificial intelligence, contact center technology, and customer relationship management, TTEC Digital delivers tailored solutions for mid-market digital transformation. Their comprehensive offerings include data analytics, CX strategy and design, and managed services that optimize customer engagements across various industries.

📋 Description

• 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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