Data Platform Developer

Winnipeg, MB

• Competitive salary and comprehensive benefits package.
• Defined-benefit pension plan for long-term financial security.
• Enjoy a work schedule that typically provides every second Monday off (subject to location and operational requirements), supporting a balanced approach to work, family life and community.

• Lead the implementation, configuration, integration, administration, and ongoing support of Manitoba Hydro's Enterprise Data & Analytics Platform, including data management and data analytics capabilities.
• Design, develop, configure, and maintain enterprise data management capabilities, including data governance, metadata management, data cataloguing, business glossary management, data quality, data lineage, master data management, and reference data management.
• Implement and support platform workflows, controls, and automation that enable data stewardship, data ownership, policy compliance, data quality remediation, and other enterprise data governance practices.
• Design, implement, and maintain integrations between the Enterprise Data Management Platform and data sources including enterprise applications and operational systems, to support the governed management and use of enterprise data assets.
• Configure and automate enterprise data governance, data management, security, privacy, and compliance requirements within platform capabilities, business processes, and technology solutions.
• Develop and maintain reusable integration patterns, APIs, standards, templates, and automation frameworks that improve platform adoption, operational efficiency, and management of enterprise data assets.
• Collaborate with Data Governance, Data Architecture, Cyber Security, Digital & Technology teams, and business stakeholders to ensure enterprise data management capabilities align with business requirements, architecture standards, and regulatory obligations.
• Support and implement data and analytics platform capabilities through governed enterprise data assets, including data engineering, analytics, reporting, and machine learning solutions.
• Monitor, troubleshoot, administer, and optimize platform performance, availability, scalability, reliability, and security, ensuring alignment with enterprise technology standards, operational requirements, and service expectations.
• Provide technical expertise, guidance, and recommendations regarding enterprise data management platform technologies, implementation approaches, platform capabilities, and emerging industry practices, while leading complex technical initiatives and supporting the continued maturity of Manitoba Hydro's enterprise data capabilities.
• Collaborate with Data Architecture to research, evaluate, and recommend emerging technologies, tools, and best practices that enhance enterprise data management capabilities and support enterprise analytics requirements.
• Contribute to Agile delivery practices and support continuous improvement of team processes, delivery methodologies, operational support models, and platform administration practices within the Enterprise Data Office.

• A four year degree in Computer Science, Computer Engineering, Information Technology, or a related discipline from a university of recognized standing with a minimum of five years data and analytics experience, including a minimum of three years of directly applicable experience implementing, integrating, administering, and supporting enterprise data platforms;
  OR
• A two year diploma in Computer Programming Technology, Information Technology, or a related discipline from an institute of recognized standing with a minimum of seven years data and analytics experience, including a minimum of three years of directly applicable experience implementing, integrating, administering, and supporting enterprise data platforms. 
• Strong understanding of enterprise data governance, data management, information management, security, privacy, and regulatory requirements, with the ability to translate policies, standards, and business requirements into sustainable technical solutions, platform controls, and operational processes required.
• Strong knowledge of enterprise data management concepts and practices, including metadata management, data cataloguing, data quality, data lineage, business glossary management, master data management, reference data management, data integration, and data lifecycle management required.
• Strong understanding of data architecture principles and concepts, including data modelling, integration patterns, data warehousing, distributed data ecosystems, and data platform architecture required.
• Experience with cloud-based, hybrid, and on-premises data platforms and technologies required.
• Experience implementing, configuring, administering, and supporting enterprise data management platforms and capabilities, including metadata management, data cataloguing, data quality, data lineage, governance workflows, and master/reference data management, required.
• Experience with programming, scripting, automation, and integration technologies such as Python, PowerShell, Bash/Shell scripting, SQL, PySpark, REST APIs, JSON, XML, YAML, Terraform, or similar technologies required.
• Demonstrated ability to communicate complex technical concepts to technical and non-technical audiences and establish effective working relationships with business and technology stakeholders required.
• Demonstrated ability to work independently on complex assignments and provide technical guidance and knowledge sharing to other data professionals required.
• Demonstrated ability to coordinate technical activities, contribute to complex initiatives, and provide input into technical design and implementation decisions across multiple teams and stakeholders required.
• Experience supporting data and analytics platform capabilities, including data engineering, analytics, reporting, and machine learning enablement through governed and trusted enterprise data assets preferred.
• Experience designing, implementing, and supporting integrations using APIs, event-driven architectures, automation frameworks, workflow technologies, and enterprise integration patterns preferred.
• Experience with enterprise data governance and data management technologies such as Microsoft Purview, Informatica, Collibra, Alation, Ataccama, SAP MDG, or similar platforms preferred.
• Experience with DevOps practices, CI/CD pipelines, source control, environment management, Infrastructure as Code (IaC), and automated deployment methodologies preferred. 
• Must have completed Standards of Conduct Training or be willing to complete within two weeks of start date. 
• Must obtain and maintain a current Personal Risk Assessment and a "Clear" security rating in accordance with Manitoba Hydro policy P513.