Data Solutions Lead
E-Comm 9-1-1 | Emergency Communications for British Columbia Incorporated
As a recognized leader in emergency communications, E-Comm is an organization that provides first responders and the public with critical life-safety services in communities across B.C. Our people are passionate about their work and public safety. We operate two emergency communications centres - one located in Vancouver and one in Saanich. E-Comm also provides integrated police, fire call taking, dispatch services to more than 70 police and fire departments, and owns/operates the largest multi-jurisdictional, tri-service wide-area radio network in B.C. We are proud to serve communities across this beautiful province through our four operational and administrative locations in Vancouver, Burnaby and Saanich.
Learn more at E-Comm 9-1-1, we are committed to building a diverse and inclusive workforce that represents the many communities that we proudly serve.
OUR VALUES RESPECT | ACCOUNTABILITY | INTEGRITY | SERVICE | COLLABORATION
We are seeking an experienced
Data Solutions Lead
to join our growing Data & Analytics team. In this role, you will be responsible for designing and implementing data pipelines, which includes transforming, aggregating, and integrating data from different sources and loading it into the highly scalable and secure cloud-native data analytics platform, as well as propagating the data through the environment, in support of the analytics needs of E-Comm and its shareholders.
Our ideal candidate will work with team members and internal departments on data initiatives, to define requirements and to ensure a consistent approach to data ingestion and data propagation across disparate projects.
Key responsibilities in this role include:
Oversee the department's data integration work, including developing data models, maintaining the data warehouse and analytics environment, and writing scripts for data integration and analysis
Build continuous integration and continuous delivery/continuous deployment (CI/CD) pipelines using Fabric deployment pipelines and Azure DevOps to deliver Fabric pipelines, notebooks and lakehouses. Work with stakeholder teams to migrate and move Data & Analytics platform applications to the cloud environment
Analyze and solve incidents in production environment while avoiding data loss and minimizing service outages. Adopt best practices in data integrity, test design, analysis, validation, and documentation. Tune application and query performance using profiling tools and SQL
Develop and maintain security and compliance policies for deployment processes. Create and maintain documentation of the analytics platform architecture and data flows. Ensure compliance with data management processes, policies and standards. Implement and enforce controls to maintain data availability and quality
Peer-reviewing code and mentoring and supporting junior team members. Build strong partnerships with other teams internally and externally to solve problems, and ensure we deliver a cohesive customer experience
Researches innovative solutions, develops new concepts, and implements proof-of-concept prototypes by applying expertise in data engineering, advanced analytics, process modelling, and optimization tools and techniques. Makes recommendations to management regarding strategic actions to maintain the data pipelines, analytic architectures, and life cycle, to avoid potential negative consequences and system failures, and to increase the positive impacts of data analytics system
WHAT YOU WILL BRING:
Minimum five 5 years’ experience in data engineering, including four (4) years developing data pipelines with Spark (PySpark, SparkSQL), Microsoft Fabric / Azure Synapse, and data lakes
A level of education, training and experience equivalent to a Bachelor’s Degree in Computer Science, Information Systems, engineering or other related discipline
Extensive background and experience in dimensional data modelling and building traditional and distributed cloud-hosted data pipelines to help guide and explore new grounds in adopting new tools to data processing process and infrastructure
Experience leading Data Engineering practice within an organization/team
Experience collaborating with internal and external stakeholders and partners
SECURITY CLEARANCE: As a condition of employment at E-Comm, the required Police Security Clearance applicable to the position must be acquired and maintained. This is a process carried out by our law enforcement partner agencies, facilitated by E-Comm. The minimum residency in Canada to qualify for this position, as established by our law enforcement partner agencies, is 5 years.
WHAT WE OFFER:
Meaningful work - work with a sense of purpose, supporting the public and first-responders
Competitive salary with extended health & dental benefits
Generous vacation plan
Personal Time Off program
Pension - we are members of the Municipal Pension Plan, a defined benefits fund
Career development - we are supportive in developing your skills while pursuing your career at E-Comm
JOB DETAILS:
Number of positions: Minimum of One (1)
Job status: Regular Full Time
Hours of work: Monday to Friday, 40 hours per week
Wage/Salary: $127,116 to $152,651 (depending on experience and seniority)
Employee Group: Exempt
Department: Data & Analytics
This posting closes on
Tuesday October 27, 2026 @ 11.59pm
We are committed to accommodating persons with disabilities during the recruitment process and we will provide reasonable accommodations as requested. If you require assistance or accommodation due to a disability please email .
#J-18808-Ljbffr
Learn more at E-Comm 9-1-1, we are committed to building a diverse and inclusive workforce that represents the many communities that we proudly serve.
OUR VALUES RESPECT | ACCOUNTABILITY | INTEGRITY | SERVICE | COLLABORATION
We are seeking an experienced
Data Solutions Lead
to join our growing Data & Analytics team. In this role, you will be responsible for designing and implementing data pipelines, which includes transforming, aggregating, and integrating data from different sources and loading it into the highly scalable and secure cloud-native data analytics platform, as well as propagating the data through the environment, in support of the analytics needs of E-Comm and its shareholders.
Our ideal candidate will work with team members and internal departments on data initiatives, to define requirements and to ensure a consistent approach to data ingestion and data propagation across disparate projects.
Key responsibilities in this role include:
Oversee the department's data integration work, including developing data models, maintaining the data warehouse and analytics environment, and writing scripts for data integration and analysis
Build continuous integration and continuous delivery/continuous deployment (CI/CD) pipelines using Fabric deployment pipelines and Azure DevOps to deliver Fabric pipelines, notebooks and lakehouses. Work with stakeholder teams to migrate and move Data & Analytics platform applications to the cloud environment
Analyze and solve incidents in production environment while avoiding data loss and minimizing service outages. Adopt best practices in data integrity, test design, analysis, validation, and documentation. Tune application and query performance using profiling tools and SQL
Develop and maintain security and compliance policies for deployment processes. Create and maintain documentation of the analytics platform architecture and data flows. Ensure compliance with data management processes, policies and standards. Implement and enforce controls to maintain data availability and quality
Peer-reviewing code and mentoring and supporting junior team members. Build strong partnerships with other teams internally and externally to solve problems, and ensure we deliver a cohesive customer experience
Researches innovative solutions, develops new concepts, and implements proof-of-concept prototypes by applying expertise in data engineering, advanced analytics, process modelling, and optimization tools and techniques. Makes recommendations to management regarding strategic actions to maintain the data pipelines, analytic architectures, and life cycle, to avoid potential negative consequences and system failures, and to increase the positive impacts of data analytics system
WHAT YOU WILL BRING:
Minimum five 5 years’ experience in data engineering, including four (4) years developing data pipelines with Spark (PySpark, SparkSQL), Microsoft Fabric / Azure Synapse, and data lakes
A level of education, training and experience equivalent to a Bachelor’s Degree in Computer Science, Information Systems, engineering or other related discipline
Extensive background and experience in dimensional data modelling and building traditional and distributed cloud-hosted data pipelines to help guide and explore new grounds in adopting new tools to data processing process and infrastructure
Experience leading Data Engineering practice within an organization/team
Experience collaborating with internal and external stakeholders and partners
SECURITY CLEARANCE: As a condition of employment at E-Comm, the required Police Security Clearance applicable to the position must be acquired and maintained. This is a process carried out by our law enforcement partner agencies, facilitated by E-Comm. The minimum residency in Canada to qualify for this position, as established by our law enforcement partner agencies, is 5 years.
WHAT WE OFFER:
Meaningful work - work with a sense of purpose, supporting the public and first-responders
Competitive salary with extended health & dental benefits
Generous vacation plan
Personal Time Off program
Pension - we are members of the Municipal Pension Plan, a defined benefits fund
Career development - we are supportive in developing your skills while pursuing your career at E-Comm
JOB DETAILS:
Number of positions: Minimum of One (1)
Job status: Regular Full Time
Hours of work: Monday to Friday, 40 hours per week
Wage/Salary: $127,116 to $152,651 (depending on experience and seniority)
Employee Group: Exempt
Department: Data & Analytics
This posting closes on
Tuesday October 27, 2026 @ 11.59pm
We are committed to accommodating persons with disabilities during the recruitment process and we will provide reasonable accommodations as requested. If you require assistance or accommodation due to a disability please email .
#J-18808-Ljbffr
Reference: WJ-3875_14079337