Technical Delivery Team Manager

Role : Technical Delivery Manager (Sr. Data Architect) Location : Vancouver, BC, Canada (4 Days Onsite, Need local candidates) Position type : Full Time Salary : CAD 160-165K Job description : Role Summar y:We are seeking a results-drive n Technical Delivery Manager (TD M) to own end-to-end delivery for a multi-track Data Engineering progr am in the Retail domain. This role is intended for a senior data engineering lead er who combines deep technical fluency with proven delivery leadership—driving predictable execution, engineering discipline, and continuous improvemen t. You will lead a 20 person delivery t eam (cross-geo), wi th onsite/NA team members reporting direc tly and strong coordination across matrix/offshore teams. The role is highly stakeholder-facing, partnering with custom er Directors, Tech Managers, Program/Project Managers, Product Management, BSAs, Engineers, and Archite c ts. This role is not expected to be the primary solution architect for every area, but is expected to influence architecture and engineering outc omes through design reviews, technical governance, and partnership with architects/tech le ads. Key Responsibil itiesProgram Delivery & Gover nanceOwn delivery across multiple tracks: scope, roadmap, milestones, dependencies, budget alignment, RAID, and change con trol.Establish and run governance cadence: weekly status, executive readouts, risk reviews, planning alignment, and steering upd ates.Drive delivery predictability and operational rigor through clear plans, measurable outcomes, and disciplined execu tion.Stakeholder & Customer Manag ementAct as the primary delivery interface for customer stakeholders (Directors, Tech Managers, PgMs/PjMs, Product team, BSAs, Engineers, Archite cts).Translate business priorities into actionable plans with clear acceptance criteria, sequencing, and release milest ones.Communicate proactively on progress, tradeoffs, risks, mitigations, and decisions required; manage escalations and align on next s teps.Technical Delivery Leadership (Data Enginee ring)Lead delivery across ingestion, streaming, transformation, orchestration, and data product enablement u sing:Ai rflow for orchestration, scheduling, dependency management, and operational SLAs Kafka for event/stream processing patterns and reliability considera tionsDatabricks/ Spark for processing and pipe linesSnow flake for warehousing/analytics, performance, and cost considera tionsPos tgres for operational data sources / integra tionsInfluence solution quality thr ough technical gover nance: design reviews, coding standards, data modeling standards, performance practices, and reusable patt erns.Ensure production readiness: monitoring/alerting, runbooks, incident response, root-cause analysis, and preventative actions across tr acks.Team Leadership & Perfor manceLead and motivate a ~20-person team; directly manage NA/onsite reports and influence matrix/offshore teams to deliver outc omes.Build a culture of ownership, accountability, collaboration, and continuous improve ment.Coach leads and scrum masters on execution discipline, stakeholder communication, and delivery predictabi lity.Optimization & AI-Enabled Del iveryDrive efficiency via automation and AI-assisted workflows (e.g., AI-assisted code review, test/data validation generation, documentation/runbooks acceleration, incident triage supp ort).Implement Lean/Kaizen practices to reduce cycle time, defect leakage, operational toil, and cost.Establish delivery and operational metrics to identify bottlenecks and continuously improve throughput, quality, and reliabi lity. Required Qualific ations10+ years in technology, with 5+ yea rs in data engineering lead ership a nd/or technical delivery lead ership for complex programs (services/consulting experience strongly prefe rred).Proven success deliv ering multi-track pr ograms with complex dependencies and senior stakeholder engag ement.Deep experience in data engineering de livery including ETL/ELT, orchestration, data modeling, data quality, observability/monitoring, and production su pport.Technical f luency sufficient to lead engineering outcomes and challenge decisions (not required to be the primary architect for all areas), incl uding:SQL (adv anced ) and Python fundam entalsSnowflake and/or Databricks /Spark delivery experience (one can be primary; the other must be strong working know ledge)A irflow concepts (DAG patterns, scheduling, SLAs, failure handling, operationaliz ation )Kafka concepts (producer/consumer patterns, reliability considerations, event-driven del ivery)Po stgres fundamentals (query design/performance basics; source/integration pat terns)Strong Agile delivery experience (Scrum/Kanban) and tools (Jira/Confluence or equiva lent).Excellent communication skills—able to align technical and non-technical audiences and drive deci sions. Preferred / Nice- to-HaveRetail domain experience (ecomm, merchandising, inventory, supply chain, pricing/promotions, customer/lo yalty).Experience ap plying AI/aut omation to improve engineering delivery and operations (Copilot-style tools, workflow automation, guard rails).Data governance/compliance experience (PII handling, access controls, audit read iness).Familiarity with BI tools (Power BI/Tableau) and semantic layer co ncepts.Certifications: PMP, CSM/PSM, SAFe, Databricks/Snowflake certific ations.

E ducationBachelor’s of Engineering or related fields.