Closed listing
Senior Data Engineer
- Calgary, AB, Canada
Contract
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Contract
- Closing date
- Posting language
- English
- Posted
Similar jobs hiring now
Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Posted Friday, August 28, 2026 at 6:00 a.m.
Boardwalk provides Canadians with a quality, comfortable, home living experience. We offer rental apartments and townhouses that come in a wide breadth of shapes, sizes and sets of amenities. We operate over 34,000 units across Alberta, British Columbia, Ontario, Saskatchewan, and Quebec.
___________________________________________________________
This is a contract position.
About The Role
The Senior Data Engineer provides architectural direction, technical leadership, and execution oversight for our core database modernization initiative. This role is responsible for shaping and guiding the migration strategy, including environment assessment, data validation, reconciliation, monitoring, and quality controls required to support a controlled transition from legacy SQL Server environments to Azure SQL Managed Instance. Combining deep expertise in legacy database platforms with modern Azure data technologies, this individual will help reduce migration risk, improve confidence in data quality, and establish the foundation for future business intelligence and data platform capabilities.
Key Responsibilities
Architecture & Migration Execution
- Lead the architectural design and structural execution of our migration from a 30-year-old on-premises SQL Server 2017 setup to Azure SQL Managed Instance.
- Conduct extensive legacy assessments on decades-old schemas to isolate compatibility gaps, remediate depreciated items, and clear performance blocks for Azure PaaS transition.
- Build, enforce, and test rigorous migration fallback and rollback procedures alongside active live data flows to safeguard enterprise operations.
- Orchestrate and lead database cutover activities to support a controlled transition to Azure with minimal business disruption.
- Lead the technical stewardship, evolution, and operational success of our established Azure Data Factory (ADF) ETL framework and active data synchronization strategies.
- Review, refactor, and scale existing ADF data pipelines to confidently meet high-throughput requirements and strict data latency SLAs.
- Partner directly with our Business Intelligence (BI) team to design, build, and optimize net-new ETL pipelines optimized for Power BI semantic models and dashboards.
- Establish advanced alerting, schema drift detection, error-handling, and automated recovery scripts within the ADF environment.
- Apply systematic monitoring, validation, and reconciliation controls to assess data consistency between on-premises and cloud environments during dual-run operations.
- Coach internal stakeholders on pipeline health metrics and run regular post-migration data audits to ensure permanent operational readiness.
- Expert-level proficiency in Azure Data Factory (including Mapping Data Flows, Self-Hosted Integration Runtimes, and CDC mechanisms).
- Expert-level database administration and engineering depth with Microsoft SQL Server (specifically SQL Server 2017 and legacy paradigms).
- Deep hands-on experience deploying, sizing, performance-tuning, and maintaining Azure SQL Managed Instance environments.
- Strong grounding in BI data modeling concepts, star/snowflake schemas, and data warehouse formatting tailored for Power BI consumption.
- Practical understanding of hybrid network infrastructure configurations required for secure cloud data streaming (VPN gateways, ExpressRoute, and VNet isolation).
- Excellent communication skills; able to clearly explain migration logic, cutover risks, and architectural compromises to business leaders.
- Strong leadership presence with the ability to confidently steer cross-functional technical teams without direct organizational authority.
- Highly skilled at navigating decades-old undocumented database logic, providing clear structure out of systemic ambiguity.
- Demonstrates strong ownership, accountability, and technical leadership in maintaining reliable, well-governed data pipelines and migration processes.
Interested applicants are invited to submit a cover letter and resume. If applying for a location you do not currently reside in, please specify if you are planning to relocate and the approximate timeframe that you would be available to start work if an offer is presented.
We would like to thank you in advance for your application, however, only those candidates who are being considered will be contacted.
Offers of employment will be contingent on satisfactory Security Background Checks, Reference Checks, and Pre-employment Physical Testing where applicable.
More about this job
Responsibilities
Lead the architecture and execution of the migration from legacy SQL Server environments to Azure SQL Managed Instance, including assessments, cutover planning, rollback procedures, and data integrity controls. Own and optimize Azure Data Factory pipelines, build ETL solutions for Power BI, and establish monitoring, alerting, and operational readiness practices.
Requirements
Requires expert-level experience with Azure Data Factory, SQL Server 2017 and legacy database environments, and deploying and tuning Azure SQL Managed Instance. Candidates should also understand BI data modeling for Power BI and secure hybrid cloud networking, and demonstrate strong communication, leadership, and ownership.
Skills
- Azure Data Factory
- Microsoft SQL Server
- Azure SQL Managed Instance
- Database Migration
- Database Administration
- ETL Pipeline Optimization
- Mapping Data Flows
- Self-Hosted Integration Runtimes
- Change Data Capture
- Data Validation
- Data Reconciliation
- Power BI Data Modeling
- Star and Snowflake Schemas
- Performance Tuning
- Hybrid Network Infrastructure
- Technical Leadership
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Management & Leadership
Keywords
- Azure Data Factory
- Mapping Data Flows
- Self-Hosted Integration Runtimes
- Change Data Capture
- Microsoft SQL Server 2017
- Azure SQL Managed Instance
- SQL Server Migration
- Database Modernization
- ETL
- Data Pipelines
- Power BI
- Semantic Models
- Star Schema
- Snowflake Schema
- Data Warehousing
- Data Validation
- Data Reconciliation
- Schema Drift Detection
- Monitoring
- Alerting
- Automated Recovery
- Performance Tuning
- Cutover Planning
- Rollback Procedures
- VPN Gateways
- ExpressRoute
- Virtual Network Isolation
- Hybrid Cloud Networking
- Business Intelligence
- Data Quality