{"id":1595703,"url":"https://alion.io/job/ttec-digital-senior-data-engineer-microsoft-data-ai","title":"Senior Data Engineer - Microsoft Data & AI","company":{"id":3352,"name":"TTEC Digital","domain":"ttecdigital.com","url":"https://alion.io/company/ttec-digital","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":72,"open_postings":15,"ghost_share":0,"stale_share":0.933,"repost_share":0,"time_to_fill_p50_days":74,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":["CA"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":89000,"max_usd":168000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":19},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-01T13:10:45Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-01T17:48:19Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"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).\nWe 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.\nThis 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.\nThe 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.\nWhat You'll Be Doing\nEnd-to-End Platform Architecture\nLead 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.\nArchitect Medallion (Bronze, Silver, Gold) lakehouse patterns using OneLake/Delta Lake, balancing performance, reliability, and cost.\nOwn data modeling for client engagements - dimensional, normalized, and semantic layers - so that data is trustworthy, reusable, and analytics-ready across domains.\nDesign batch and streaming ingestion patterns, including Fabric Data Factory/pipelines, Azure Databricks Structured Streaming, and event-driven architectures (e.g., Event Hubs).\nIdentify and resolve architectural risk and technical debt, and optimize pipelines for performance and cost.\nAPIs, Data Agents & Activation\nDesign and build APIs and data services that activate governed data for client analytics, reporting, and downstream applications.\nDesign 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.\nPartner 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.\nImplement data governance patterns using Microsoft Purview and/or Unity Catalog, including access control, metadata, and lineage.\nSupport production operations and incident response for critical pipelines and activation services on client engagements.\nTechnical Leadership & Client Engagement\nMentor and provide technical direction to Data Engineers, reviewing code, data models, and designs to raise delivery quality.\nAct as a trusted technical resource to client stakeholders, explaining architecture trade-offs and design decisions in clear terms.\nContribute to reusable frameworks, accelerators, and engineering standards used across engagements.\nSupport presales activities where needed, including technical input on estimates, proposals, and solution design.\nEvaluate new capabilities across Fabric and Azure Databricks and recommend where they add value for client platforms.\nWhat You'll Bring to the Role\nBachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical discipline.\n5-8 years of experience in data engineering, with strong ownership of production data pipelines on Azure.\nExpert-level proficiency in Python, SQL, and PySpark for building distributed data pipelines at scale.\nDeep 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.\nStrong background in data modeling, schema design, and enterprise data architecture across the full lifecycle from ingestion to activation.\nExperience designing APIs and MCP-based integrations that exchange data with front-line systems, Data Agents, and other agentic AI interfaces.\nExperience with orchestration and CI/CD (Fabric pipelines, Azure Data Factory, Databricks Workflows, Azure DevOps).\nStrong knowledge of data governance and security tooling, including Microsoft Purview and/or Unity Catalog.\nDemonstrated ability to mentor engineers and lead technical design discussions on client-facing engagements.\nStrong problem-solving skills and ability to troubleshoot complex, large-scale data issues independently.\nExcellent communication skills, with the ability to explain technical trade-offs to both technical and client audiences.\nRelevant Microsoft certifications (e.g., Azure Data Engineer Associate, Fabric Analytics Engineer Associate) and/or Databricks certifications preferred.","description_format":"text","description_chars":5177,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","IT Consulting & Digital Transformation","Systems Integrators","AI Consulting & Integration"],"lifecycle":[{"event":"open","at":"2026-10-01T17:48:19Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":74,"reasons":["conf:9","win:early"],"computed_at":"2026-10-02T03:24:03Z"},"pay":null,"html_url":"https://alion.io/job/ttec-digital-senior-data-engineer-microsoft-data-ai","json_url":"https://alion.io/job/ttec-digital-senior-data-engineer-microsoft-data-ai.json","meta":{"generated_at":"2026-10-02T03:24:03Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4678,"day_limit":5000,"remaining_today":322,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}