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Added 6 hours ago
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Full-time
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Boardwalk

Senior Data Engineer

Calgary, AB, Canada

Job type: Contract
Apply by: Oct 24, 2026
Posting language: English
Posted: Sep 27, 2026

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Original job description

Job Description

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.

ETL Ownership & Pipeline Optimization

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.

Observability, Monitoring & Integrity

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.

Technical Requirements

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).

Non-Technical Requirements

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.

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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

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

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