TPM- Data Engineering

Posted 6 Days Ago
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Toronto, ON, CAN
In-Office
Senior level
Cloud • Information Technology • Software
The Role
Lead end-to-end delivery of Databricks-based enterprise data platform programs. Drive cross-functional teams (data engineering, data science, DevOps, BI), define architecture standards, manage roadmaps, risks, KPIs, and stakeholder reporting. Oversee Delta Lake, medallion architecture, ETL/ELT and streaming pipelines, platform optimization, governance, security, and Agile/SAFe delivery.
Summary Generated by Built In
Technical Program Manager (TPM) – Databricks Platform

Role Overview

We are seeking an experienced Technical Program Manager (TPM) with strong expertise in Databricks and modern data platforms to lead and drive large-scale data & AI transformation programs. This role will work at the intersection of business, data engineering, and platform architecture, ensuring successful delivery of enterprise-grade data solutions on Databricks.

Key Responsibilities
Program Leadership
  • Drive end-to-end execution of data platform programs built on Databricks (Lakehouse architecture).
  • Manage multiple cross-functional teams including data engineering, data science, DevOps, and BI teams.
  • Own program roadmap, delivery timelines, risk management, and stakeholder communication.
  • Establish governance frameworks for program delivery, quality, and performance tracking.
Databricks Platform Ownership
  • Lead design and implementation of Databricks-based data platforms (Azure Databricks / AWS Databricks / GCP).
  • Ensure best practices in:
    • Delta Lake
    • Data pipelines (batch + streaming)
    • Medallion architecture (Bronze, Silver, Gold layers)
  • Drive platform optimization including cost, performance, and scalability.
Technical Strategy & Execution
  • Collaborate with architects to define data architecture standards and patterns.
  • Oversee development of:
    • ETL/ELT pipelines
    • Data ingestion frameworks
    • Data transformation and curation layers
  • Ensure integration with ecosystem tools like:
    • Azure Data Factory / Airflow
    • Power BI / Tableau
    • MLflow, Feature Store
Stakeholder & Business Alignment
  • Act as a bridge between business leaders and engineering teams.
  • Translate business requirements into technical execution plans.
  • Provide leadership updates and executive reporting on program progress.
Delivery Excellence
  • Define and track KPIs, SLAs, and program success metrics.
  • Identify and mitigate risks, dependencies, and bottlenecks.
  • Ensure adherence to Agile / Scrum / SAFe methodologies.
Data Governance & Security
  • Ensure compliance with:
    • Data governance policies
    • Security and privacy regulations
  • Implement best practices for:
    • Data lineage
    • Data quality
    • Access controls
Skills & Qualifications
Mandatory Skills
  • 10+ years in technology roles, with 5+ years in program management.
  • Strong hands-on or working knowledge of:
    • Databricks (must-have)
    • Apache Spark / PySpark / SQL
    • Delta Lake architecture
  • Experience in cloud platforms:
    • Azure (preferred), AWS, or GCP
  • Proven experience delivering enterprise data platform programs.
Technical Expertise
  • Data Engineering concepts:
    • Data modeling, ETL/ELT, pipelines
  • Real-time streaming (Kafka / Event Hub)
  • CI/CD for data pipelines
  • DataOps / MLOps frameworks
Program Management Skills
  • Strong experience in:
    • Agile / Scrum / SAFe frameworks
    • Program governance and reporting
  • Excellent stakeholder management skills, including C-level engagement.


Skills Required

  • 10+ years in technology roles with 5+ years in program management
  • Databricks (must-have)
  • Apache Spark / PySpark
  • SQL
  • Delta Lake architecture
  • Experience with cloud platforms (Azure, AWS, or GCP)
  • Proven experience delivering enterprise data platform programs
  • Data engineering concepts: data modeling, ETL/ELT, pipelines
  • Real-time streaming (Kafka / Event Hub)
  • CI/CD for data pipelines
  • DataOps / MLOps frameworks
  • Experience with Azure Data Factory or Airflow
  • Integration with BI tools (Power BI or Tableau)
  • Experience with MLflow and Feature Store
  • Strong experience in Agile / Scrum / SAFe frameworks
  • Excellent stakeholder management, including C-level engagement
  • Platform optimization (cost, performance, scalability)
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The Company
HQ: Seattle, WA
1,233 Employees
Year Founded: 2002

What We Do

iLink Digital, a CMMI Level 3 and ISO 9001:2015 Certified Global Software Solution Provider and Systems Integrator, delivers next-generation technology solutions to help clients solve complex business challenges, improve organizational effectiveness, increase business productivity, realize sustainable enterprise value and transform your business inside-out. iLink integrates software systems and develops custom applications, components, and frameworks on the latest platforms for IT departments, commercial accounts, application services providers (ASP) and independent software vendors (ISV). iLink solutions are used in a broad range of industries and functions, including healthcare, telecom, government, oil and gas, education, and life sciences. iLink’s expertise includes Cloud Computing & Application Modernization, Data Management & Analytics, Enterprise Mobility, Portal, collaboration & Social Employee Engagement, Embedded Systems and User Experience design etc. What makes iLink Digital's offerings unique is the fact that we use pre-created frameworks, designed to accelerate software development and implementation of business processes for our clients. iLink has over 60 frameworks (solution accelerators), both industry-specific and horizontal, that can be easily customized and enhanced to meet your current business challenges.

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