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Manager Data Engineering Jobs in British Columbia

Reporting to the Manager, Enterprise Data & Analytics, you'll design, build, and maintain automated ... You'll help shape the future of the organization's data engineering practice by introducing best ...

Collaborate with data engineers, analysts, and business stakeholders to translate business requirements into technical solutions. * Develop and enforce best practices for managing and optimizing data ...

As a Software Engineering Manager II, you will empower high-performing, micro-sized engineering ... Our engineers rotate across projects and own delivery end-to-end-spanning frontend, backend, data ...

... managers to design and analyze experiments. When data engineering work needs doing, you can pick it up without missing a beat. This is a senior individual contributor role. You'll work across our ...

Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information Systems, Data Engineering, Data Analytics, or other IT-related degree; * Strong database proficiency (e.g ...

Showing results 21-40

Manager Data Engineering information

See British Columbia salary details

$81.5K

$129.4K

$224.5K

How much do manager data engineering jobs pay per year?

As of Aug 20, 2026, the average yearly pay for manager data engineering in British Columbia is $129,416.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the most commonly searched types of Data Engineering jobs in British Columbia?

The most popular types of Data Engineering jobs in British Columbia are:

What are popular job titles related to Manager Data Engineering jobs in British Columbia?

For Manager Data Engineering jobs in British Columbia, the most frequently searched job titles are:

What job categories do people searching Manager Data Engineering jobs in British Columbia look for?

The top searched job categories for Manager Data Engineering jobs in British Columbia are:

What cities in British Columbia are hiring for Manager Data Engineering jobs?

Cities in British Columbia with the most Manager Data Engineering job openings:

Infographic showing various Manager Data Engineering job openings in British Columbia as of August 2026, with employment types broken down into 79% Full Time, 20% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $129,416 per year, or $62.2 per hour.

Senior Data Engineer - Data Governance & DataOps

Pattison Food Group

Langley, BC โ€ข On-site

CA$108K - CA$135K/yr

Full-time

Retirement

Re-posted 25 days ago


Job description

Come join Pattison Food Group Ltd., aJim Pattisonbusiness, and Canada's largest Western-based provider of food and health products.

Pattison Food Group Ltd. is a certified Great Place to Work and consists of Save-On-Foods and other well-known grocery banners. With nearly 300 retail locations, we proudly employ nearly 30,000 team members.

We have an exciting opportunity for a full-time Senior Data Engineer - Data Governance & DataOps to join our IT team in Langley, BC.

Reporting to the Director, Enterprise Architecture, you'll be the technical lead responsible for designing, implementing, and operationalizing enterprise-wide data quality measurement and monitoring. This role sits at the intersection of data engineering, governance, and analytics, with hands on ownership of frameworks, pipelines, and standards across Databricks, Delta Lake, Power BI, and Informatica.

In this role you will work closely with a Business Analyst, Product Owner, and rotating Business Data Stewards to define data quality expectations, build reusable frameworks, and surface trustworthy insights for business partners. If you enjoy improving reliability, reducing chaos, and building scalable solutions that move business outcomes.


You will be responsible for:

  • Designing and implementing an end-to-end data quality framework across enterprise data sources, including rules, measures, monitoring, and automated detection.

  • Building reusable data quality results models, Power BI dashboards, and scorecards that clearly surface issues to business teams and drive measurable improvements.

  • Establishing and evolving standards for rules as code, data observability, data contracts, and governance automation.

  • Performing targeted data analysis to identify data quality issues, quantify business impact, and recommend actionable fixes that improve reliability and operational outcomes.

  • Leading the architecture and development of scalable data pipelines using Databricks, Delta Lake, and modern lakehouse patterns.

  • Partnering with cross functional engineering and business teams to ensure solutions are robust, performant, and aligned with data domain needs.

  • Mentoring junior technical team members and contributing to define best practices for CI/CD, version control, testing, and code quality.

You have:

  • An undergraduate or master's degree in computer science/engineering, or an equivalent combination of education and experience, preferably in a large and complex retail organization.

  • 7+ years of data engineering or analytics engineering with recent experience using modern lakehouse technologies (Databricks/Delta preferred).

  • Strong SQL and Python; hands on experience with Spark (PySpark) and Databricks Jobs/Workflows.

  • Experience with metadata and governance platforms such as Microsoft Purview or Unity Catalog.

  • Proven experience with data modeling, performance tuning, and reusable pipeline frameworks.

  • Experience implementing data quality as code (e.g., Great Expectations, Databricks Expectations, Deequ, or similar testing frameworks).

  • Experience with semantic models and BI layer design (Power BI strongly preferred).

  • Strong engineering fundamentals: version control, CI/CD, automated testing, release management.

  • You have a clear, concise communication style and can translate complex data and engineering concepts into simple, businessrelevant language for nontechnical stakeholders.

  • Background in retail/grocery or other high volume transactional domains (considered an asset).

  • Experience establishing enterprise data domains and data products (considered an asset).

  • Orchestration experience with tools such as Databricks Workflows, Airflow, Informatica, and ADF/Fabric Data Factory(considered an asset).

You are:

  • Able to translate business needs into technical architecture capabilities.

  • Able to quickly comprehend the functions and capabilities of new technologies.

  • A curious learner who stays informed on emerging technologies and is motivated by long-term results and achieving targeted business outcomes.

  • A proactive relationship builder who creates partnerships and maintains a high level of trust with stakeholders to drive outcomes.

What we offer:

In addition to a highly competitive salary, we offer a great range of benefits, a company pension plan, free parking, exclusive team member offers, and opportunities for development and career progression.

If you're looking to join a team that puts people first, you're in the right place. Apply online today!

IND6


Compensation Details:

$108,405.00 - $135,506.00

The compensation offered for this position will take into consideration location, education, skills, experience and other factors.