Specialist, Data Developer (Microsoft)

Vale • Toronto, ON

1d • CA$112,000 • Onsite

About The Position

We are currently seeking a Specialist, Data Developer (Microsoft) to join our Data Platforms & Foundation team within Information Technology (IT), based in Toronto, ON. This is a critical role focused on designing, building, and maintaining scalable data infrastructure and solutions that enable the collection, storage, and processing of large volumes of data across the organization. In this position, you will play a key role in ensuring that data is reliable, accessible, and optimized for analytics, reporting, and AI initiatives—supporting improved decision-making, operational efficiency, and business performance. You will report to the Manager, Data Platforms and Foundation and work closely with cross-functional teams including data scientists, analysts, architects, and business stakeholders.

Requirements

• 8–10 years of experience in data development, data engineering, or related roles
• Proven experience building data pipelines, ETL processes, and enterprise data solutions
• Undergraduate degree in Computer Science, Data Science, Software Engineering, or a related field
• Azure Cloud certifications
• Data Engineering / Data Development certifications
• Databricks, ML/AI, or Advanced Analytics certifications
• Certified Data Management Professional (DAMA)
• Advanced knowledge of IT service management and end user services
• Strong understanding of ITIL and service management best practices
• Experience leading teams and influencing stakeholders across regions
• Strong communication and stakeholder management skills
• Ability to operate effectively in high‑pressure, 24x7 operational environments
• Structured, analytical, and service‑oriented mindset
• Focus on standardization, automation, and continuous improvement

Responsibilities

• Design, develop, and optimize scalable data pipelines for ingesting, transforming, and distributing data across multiple systems
• Build and maintain ETL processes to prepare, cleanse, and transform data from diverse sources (databases, APIs, files, IoT, applications)
• Automate workflows to improve reliability and reduce manual intervention
• Ensure pipelines are fault-tolerant, performant, and aligned with data governance standards
• Configure and manage Azure-based data platforms and services for data processing and storage
• Build and maintain data lakes, warehouses, semantic models, and analytics environments
• Ensure data solutions support both batch and real-time processing needs
• Monitor scalability, performance, and health system to support business growth
• Develop and maintain end-to-end data solutions for reporting, dashboards, and advanced analytics
• Integrate data from multiple sources to support business decision-making
• Deliver innovative solutions using modern analytics, AI, and visualization tools
• Collaborate with stakeholders to define data requirements and deliver actionable insights
• Develop reports and dashboards that provide actionable insights into performance and operations
• Optimize queries, models, and data structures to improve reporting performance
• Ensure data accuracy, integrity, and consistency across reporting solutions
• Communicate insights clearly to both technical and non-technical stakeholders
• Collaborate with data scientists to build, optimize, and deploy ML/AI models
• Develop data pipelines to support advanced analytics and AI initiatives
• Identify opportunities for innovation using predictive analytics, anomaly detection, and emerging technologies
• Ensure data practices comply with governance frameworks, security standards, and regulatory requirements
• Monitor data quality, pipeline performance, and model accuracy
• Implement controls to protect sensitive data and ensure data integrity
• Partner with cross-functional teams including architecture, data science, analytics, and business units
• Manage relationships with vendors and ensure delivery of high-quality solutions
• Support transition of solutions from development into production environments
• Maintain comprehensive documentation for data pipelines, architecture, and processes
• Support knowledge sharing, training, and stakeholder communication
• Contribute to continuous improvement and adoption of best practices

Benefits

• Competitive compensation including a variable annual incentive plan
• Participation in a competitive Defined Contribution Pension package
• Comprehensive benefits package (company paid core coverage, health and dental coverage, flex accounts, disability plans, and optional insurances)
• Leave for all of life’s reasons (vacation, personal, sick, parental)
• Work culture dedicated to safety, diversity & inclusion, and career growth
• Employee Family Assistance Program
• Virtual Healthcare online
• Online training and career development opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Senior