Data Developer

Benefits

• Competitive salary and comprehensive benefits package.
• Nine-day work cycle, typically resulting in every other Monday off to support a balanced approach to work, family life and community.

Position Overview

Under the direction of the Enterprise Data & Analytics Lead, the Senior Data Developer plays a pivotal role in building and operationalizing the data ecosystem necessary for enterprise data and analytics use cases, following industry and Manitoba Hydro's best practices, and leveraging Manitoba Hydro's Enterprise Data & Analytics System (DAS).

This role is accountable for ensuring data used for analytics is fit for purpose today and for the future, and responsible for the design, creation, and maintenance of enterprise data architecture for analytics. This role builds, manages, and optimizes data pipelines and moves these into production to provide timely access to trustworthy data to a wide variety of data consumers at Manitoba Hydro.

Collaborating with Digital & Technology and the wider business, the position requires the ability to creatively solve business data problems. This role advocates for appropriate and effective data management practices and for promoting better understanding of data and analytics. This is the senior working level for data development and architecture assignments and the working level for project leader assignments and will direct and coordinate the work assignments of other Data Developers as well. You must be technically knowledgeable, highly skilled, and able to work independently in all aspects of data architecture development and maintenance. Success involves advocating for effective data management practices and enabling the generation of business value of Manitoba Hydro's data.

Responsibilities

• Act as a project lead and provide technical leadership for projects in the Enterprise Data & Analytics Section purview.
• Ensure optimum data platform operation that meets privacy and compliance requirements, change control, testing, quality control, and migration planning.
• Design and implement enterprise data architecture, utilizing knowledge of defined reference architectures, technology trends, and implementation experience and ensuring alignment with data security policy, reporting capability, data governance and quality, cost, and performance requirements.
• Lead the architecture, creation, and maintenance of data pipelines from data sources to integration and on to consumption, leveraging Change Data Capture (CDC) as applicable.
• Mentor Data Developers, including developing guidelines and standards, ensuring process alignment, sharing technical expertise, providing training, performing code reviews, directing the execution of their tasks, and providing feedback on their technical performance.
• Solicit and analyze business requirements to provide appropriate quality data solutions (source to target data mapping, data lineage, data validation, data quality, and transformation rules).
• Work with Data Governance Data Stewards and the Enterprise Data Governance team to ensure alignment with data governance.
• Assess and anticipate longer term needs of the business, provide consultative advice and expertise, and deliver presentations to internal customers.
• Drive the adoption of reporting at Manitoba Hydro by mentoring business stakeholders on how to unlock the value of their data through efficient report development and promotion of reporting capabilities.
• Develop and maintain strong working relationships with all stakeholders.
• Act as a bridge between technical and business audiences during solution development.
• Adopt, maintain, and optimize the Agile Way of Working process at Enterprise Data Office.

Qualifications

• A four‑year degree in a related discipline from a university of recognized standing with a minimum of five years of directly applicable systems analysis, systems architecture, and programming experience which includes a minimum of three years computer systems analysis/architecture experience.
• OR
• A two‑year diploma in Computer Programming Technology from an institute of recognized standing with a minimum of seven years of directly applicable systems analysis systems architecture, and programming experience which includes a minimum of three years computer systems analysis/architecture experience.
• Experience designing, building, and managing the technical cloud infrastructure needed to support data and reporting projects across the organization, encompassing data transformation, data integration, metadata management, data modeling, and change data capture.
• Experience with Databricks, MS Azure Synapse, SAP Datasphere, Change Data Capture (CDC), Python, SQL, SQL Server Management Studio, and SQL Server Integration Services, preferred.
• Adept in Agile methodologies, Azure DevOps, and Software development lifecycle (SDLC).
• Experience with visualization solutions and mentoring others to use them effectively; Power BI and SAP Analytics Cloud preferred.
• Experience working with data governance and cybersecurity teams to move data pipelines into production with appropriate alignment to data governance, quality, and security standards and policies.
• Experience leading small projects or initiatives.
• Ability to create relationships quickly and strengthen relationships confidently.

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.

EEO Statement

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.