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Principal Data Engineer

Date:  Mar 7, 2026
Location: 

Vancouver, British Columbia, CA, V6C 2T8

Company:  BC Financial Services Authority

Posting Title: Principal Data Engineer 
Department: Enterprise Enablement   
Full/Part Time: Full Time  
Job Type:  Permanent  
Location: Vancouver  
Work Arrangement: Hybrid  
Salary Range: $123,845.00 - $176,819.00  
Close Date: March 22, 2026  

 

Job Summary
BC Financial Services Authority (“BCFSA”) helps to protect British Columbians during the biggest financial decisions in their lives. We regulate B.C. ’s financial services sector, including credit unions, real estate licensees, registered pension plans, insurance and trust companies and mortgage brokers. Through modern, effective and efficient oversight, BCFSA protects consumers by impartially setting and enforcing standards across the entire sector ensuring the prosperity of the province.  
BCFSA is an equal opportunity employer and welcomes applications from all groups. This includes Indigenous Peoples, women, visible minorities, persons with disabilities, persons of diverse sexual orientation, gender identity or expression (LGBTQ2S+), and others who may contribute to diversity at BCFSA. 
We recognize unique styles, perspectives, beliefs, and creativity that support a diverse, respectful, inclusive and collaborative work environment. To achieve this, we are committed to: 
•    Hiring team members who represent the population we serve; 
•    Removing barriers that may prevent equitable employment; and 
•    Supporting respectful work environments where everyone feels included and able to produce excellent results. 
BCFSA is proud to be selected as one of BC's Top Employers (2025) in recognition of our competitive compensation, work-life balance, and progressive programs.  

 

WHAT WE OFFER: 
When you join us, you become part of a high-performing team. Here, each Team Member can bring their unique talent to make outstanding contributions as we work towards the common goal of protecting British Columbians during the most important financial transactions in their lives. We offer: 
•    Healthy living and work-life balance  
•    Comprehensive health and wellness benefits plan  
•    Opportunities for personal and professional development 
•    Competitive compensation  
•    A challenging and engaging team environment 
•    Defined benefits pension plan 
•    Our team members enjoy the flexibility of a hybrid work model. They can choose every day where they want to work to be the most effective, from the comfort of their home to our beautiful office in downtown Vancouver. (Eligibility may vary, depending on position).

 

SUMMARY 
The Principal Data Engineer is a senior individual contributor responsible for establishing the core foundations of the organization’s enterprise data platform and supporting the transition from a distributed architecture to a modern, scalable, governed architecture. The role defines engineering standards, develops reference implementations, and ensures data is secure, reliable, accessible, and aligned with strategic business objectives. This position combines architectural leadership with hands‑on engineering to deliver trusted, sustainable data capabilities. 

 

ACCOUNTABILITIES & RESPONSIBILITIES 

  • Contribute and lead the implementation of the enterprise data architecture into scalable engineering patterns, standards, and design templates for Azure Cloud services and analytics platforms. 

  • Implement foundational data platform components using Azure Data Factory, Azure Data Lake, Databricks, Azure Functions, Azure Key Vault, Synapse, and GIT‑based version control patterns. 

  • Define and operationalize service level objective (SLO) expectations for pipelines, datasets, and platform services, including monitoring and reporting mechanisms. 

  • Develop reference implementations and reusable frameworks for ingestion, transformation, orchestration, and data quality across the platform. 

  • Design and build production data pipelines using SQL, Python, and Azure-native services, ensuring adherence to security, privacy, and governance requirements. 

  • Establish CI/CD automation and testing frameworks to support consistent, reliable deployment of platform components and data solutions. 

  • Support the consolidation and modernization of existing data services into a unified Lakehouse-style architecture using modern engineering, governance, and design practices. 

  • Evaluate emerging Azure, data engineering, and governance capabilities and recommend platform enhancements supported by proofs of concept. 

  • Communicate technical decisions, risks, trade-offs, and solution approaches clearly and effectively to diverse technical and non-technical audiences. 

  • Prepare platform documentation, decision records, and engineering guidelines to uplift standards and promote consistent adoption. 
     

JOB REQUIREMENTS 

  • 7 or more years of progressive experience in cloud-based data engineering and related disciplines, including experience contributing to or leading the design, development, or operation of large-scale data platforms. 

  • Strong hands-on experience with Azure Cloud data and analytics platforms, including services such as Azure Data Factory, Azure Data Lake, Azure Functions, Azure Key Vault, Azure Synapse, Databricks, SQL Server, GIT‑based version control, and CI/CD pipelines. 

  • Proficiency in SQL and Python, with experience in performance optimization and reliability engineering. 

  • Experience defining and implementing Service Level Objectives (SLO) for data pipelines and platform components. 

  • Demonstrated ability to design reference implementations, reusable engineering patterns, and automated workflows. 

  • Strong understanding of cloud data architecture principles, modern data platform design, data modeling, and governance practices. 

  • Strong analytical and problem‑solving skills, with the ability to exercise sound judgment in complex technical scenarios. 

  • Excellent communication and collaboration skills, with demonstrated ability to engage across technical and business teams. 

  • Experience with AI/ML workflow enablement or automation frameworks is considered an asset. 

 

EDUCATION 

  • Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, Mathematics, or a related field; Master’s degree an asset. 

 

PROVISOS
Candidates must be eligible to work in Canada and living in British Columbia or intent to settle in the province.
Internal candidates are kindly requested to use their BCFSA email address when applying for this position. This will help us identify and streamline the internal application process.


Hiring Process Accommodation 
BCFSA wants to ensure every job applicant is treated fairly and with respect and encourages applications from all candidates, including those with diverse abilities. We welcome you to inform us confidentially if you may require any special support in the application process, including disability accommodation, in order to participate fully in our recruitment experience. Email us at careers@bcfsa.ca to notify us of any needs related to your job application.

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