Lead the architecture and hands-on delivery of end-to-end Azure data platforms, including ingestion, transformation, lakehouse modeling, analytics, APIs, and activation. Build batch and streaming pipelines with Microsoft Fabric, Azure Data Factory, Databricks, Python, PySpark, and SQL. Implement governance, security, CI/CD, MCP and agentic AI integrations, while troubleshooting production systems. Mentor engineers, advise client stakeholders, contribute to presales, and establish reusable engineering standards.
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.
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
- 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.
- 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 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.
- 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.
End-to-End Platform Architecture
APIs, Data Agents & Activation
Technical Leadership & Client Engagement
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).
- Strong knowledge of data governance and security tooling, including Microsoft Purview and/or Unity Catalog.
- Demonstrated ability to mentor engineers and lead technical design discussions on client-facing engagements.
- Strong problem-solving skills and ability to troubleshoot complex, large-scale data issues independently.
- 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.
#LI-DD1
#LI-Remote
About Us
TTEC Digital and our 1,800+ employees, pioneer engagement and growth solutions that fuel the exceptional customer experience (CX). Our sister company, TTEC Engage, is a 60,000+ employee service company, with customer service representatives located around the world. TTEC Holdings Inc. is the parent company for both Digital and Engage. When clients have a holistic need, they can draw from these independently managed centers of excellence, TTEC Digital and TTEC Engage.
We are also delighted to share that TTEC has been awarded the Great Place To Work 2024-2025 certification based on outstanding employee experience across 14 countries.
TTEC is a proud equal opportunity employer where all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability. TTEC has fully embraced and is committed to expanding our diverse and inclusive workforce. We strive to reflect the communities we serve while delivering amazing service and technology centered around humanity.
Rarely do applicants meet all desired job qualifications, so if you feel you would succeed in the role above, please take a moment and share your qualifications.
As part of our commitment to fair and efficient hiring practices, TTEC Digital uses artificial intelligence (AI) tools to help screen applications and match candidates to job requirements. These tools assist our human recruiters but do not make final hiring decisions.
#LI-RemoteCanada
Similar Jobs
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Manage adoption, customer health, renewal readiness, and growth across a scaled B2B SaaS portfolio. Design lifecycle campaigns, analyze customer and retention signals, coordinate renewal actions, triage inbound requests, conduct targeted customer conversations, and surface qualified expansion opportunities. Partner cross-functionally with Renewals, Sales, Product, Marketing, Support, and Customer Experience teams while delivering portfolio forecasts and executive updates.
Top Skills:
Ai-Enabled SaasB2B SaasBusiness Intelligence ToolsCrm SystemsCustomer Success PlatformsCustomer-Data SystemsMarketing Automation
Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
Own the application end to end across React, Node.js, SQL, APIs, integrations, deployment, and production support. Design and implement scalable solutions, troubleshoot complex issues, make architecture and performance decisions, review code, mentor engineers, address technical debt and security concerns, and collaborate across Product, QA, DevOps, and Architecture throughout the SDLC.
Top Skills:
AWSAzureCi/CdGCPJavaScriptMicroservicesNode.jsReactRest ApisSQLTypescript
Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
Owns end-to-end DevOps, cloud infrastructure, CI/CD, Kubernetes, Infrastructure as Code, monitoring, security, reliability, and production operations. The role designs automated deployment processes, manages cloud environments, troubleshoots complex infrastructure and networking issues, implements observability and disaster recovery, optimizes cloud costs, and guides engineering teams on secure, scalable DevOps practices.
Top Skills:
AnsibleApi GatewaysAWSAzureAzure DevopsBashCcpaDatadogDnsDockerElkFirewallsGCPGdprGitGithub ActionsGitlab CiGrafanaHelmJenkinsKubernetesLinuxLoad BalancersPowershellPrometheusPythonService MeshSplunkSsl/TlsTerraform
What you need to know about the Vancouver Tech Scene
Raincouver, Vancity, The Big Smoke — Vancouver is known by many names, and in recent years, it has gained a reputation as a growing hub for both tech and sustainability. Renowned for its natural beauty, the city has become a magnet for professionals eager to create environmental solutions, and with an emphasis on clean technology, renewable energy and environmental innovation, it's attracted companies across various industries, all working toward a shared goal: advancing clean technology.
