Data Platform Developer

Winnipeg, MB

Manitoba Hydro is consistently recognized as one of Manitoba's Top Employers! We are a leader among energy companies in

North America, recognized for providing highly reliable service and exceptional customer satisfaction. Join our team of Manitoba's

best as we continue to build a company that champions safety, supports innovation, and delivers on our commitment to customer

service - while actively fostering a diverse, equitable, and inclusive workplace reflective of the communities we serve.

Great Benefits

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.

Position Overview:

Under the direction of the Enterprise Analytics Solutions Lead, the Data Platform Developer plays a pivotal role in implementing and

operationalizing Manitoba Hydro's Enterprise Data & Analytics Platform, which includes foundational enterprise data management

capabilities and data analytics capabilities. Collaborating closely with the Data Architecture team, you will translate enterprise data

and analytics strategies, architectures, and requirements into scalable, secure, and supportable platform solutions that enable the

governed management, delivery, and use of enterprise data assets. You will configure, develop, integrate, and support platform

capabilities that advance enterprise data management (data governance, metadata management, data cataloguing, data quality,

data lineage, master and reference data management) and data analytics (data engineering, analytics, reporting, and machine

learning). The role develops integration, automation, and operational processes that embed enterprise data and analytics

capabilities within business processes and technology solutions, ensuring alignment with governance, security, compliance, and

operational requirements.

Collaborating across Digital & Technology, Data Governance, Data Architecture, Cyber Security, and business stakeholders, this

role applies advanced technical expertise to implement, integrate, and support enterprise data & analytics capabilities. This role

represents the senior working level for specialized data & analytics platform implementation and support. You will serve as the

technical expert for enterprise data management platform capabilities and provides technical guidance for enterprise data and

analytics platform integration, automation, and enablement. You will work independently, leads complex initiatives, and provides

guidance to other data professionals.

Responsibilities:

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

MANITOBA HYDRO IS COMMITTED TO DIVERSITY AND EMPLOYMENT EQUITY

Reference Code: CO57256462-01

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.

Qualifications:

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;

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.

Salary Range

Starting salary will be commensurate with qualifications and experience. The range for the classification is $45.65-$62.99 Hourly,

$87,470.50-$120,696.94 Annually.

Apply Now!

Ready to join a team that energizes Manitoba and puts safety, innovation, and inclusion at the heart of everything we do? Visit

www.hydro.mb.ca/careers to learn more about this position and to apply online.

Application deadline: NOVEMBER 24, 2026.

Reference Code: CO57256462-01

We appreciate your interest in Manitoba Hydro and thank all applicants. Only those selected for the next stage of the selection

process will be contacted.

If you require accommodations during the recruitment process or need this posting in an accessible format, please let us

know - we're committed to a barrier-free experience for all candidates.

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DATA PLATFORM DEVELOPER