8+ years of experience in data roles, including 3+ years in data architecture and 2+ years in data governance.
Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience.
Proven track record of defining and implementing target data architectures.
Experience in establishing or maturing governance programs, including policies and data quality processes.
Ability to influence stakeholders without direct authority.
Strong writing skills for clear documentation accessible to non-specialists.
Construction industry experience is a plus.
Knowledge of data modelling, cloud data platforms, SQL, and data governance frameworks.
Responsibilities
Define target-state data architecture and create a phased roadmap aligned with business strategy.
Set and maintain data modelling standards and the enterprise data model.
Recommend integration patterns and advise on technology selection for data warehousing.
Document data movement between systems and identify gaps or redundancies.
Establish data governance policies and support the governance council.
Define data quality rules and set up monitoring processes.
Lead data literacy training to enhance understanding of data policies.
Benefits
Continuous learning and growth opportunities.
Competitive compensation package.
Commitment to inclusion and respect for diversity.
Full Job Description
You as a Data Architecture & Governance Advisor will:
Define the target-state data architecture and a phased roadmap to reach it, aligned with business and technology strategy;
Set conceptual, logical and physical data modelling standards, and maintain the enterprise data model;
Recommend patterns for the data warehouse or lakehouse, integration (batch, streaming, API) and analytics layers, and advise on technology selection;
Document how data moves between source systems, platforms and consumers, and identify duplication, gaps and single points of failure;
Define how core entities such as projects, clients, vendors and employees are mastered and shared across systems;
Review solution designs for new projects against architecture standards and provide clear, written recommendations;
Advise on scalability, performance, cost, resilience and retention so designs hold up in production;
Publish and maintain architecture principles, naming conventions, reference architectures and decision records.
Establish and maintain data governance policies, standards and operating model, including data owner and data steward roles;
Help the business assign owners and stewards for key data domains, and coach them in their responsibilities;
Organize and support the data governance council; prepare agendas, recommendations and decision logs;
Define data quality rules and thresholds for critical data, and set up monitoring and an issue-resolution process;
Lead the business glossary, data catalogue and data lineage documentation so people can find data and trust its source;•
Define data classification levels and advise on access, masking and sharing rules with Security and IT;
Work with Legal and Compliance to embed privacy and data protection requirements (e.g. PIPEDA) into data practices;
Set data retention, archiving and disposal standards and advise teams on applying them;
Track governance maturity and data quality metrics, and report progress to leadership.
Ensure ownership, classification, quality rules and lineage are designed into new solutions from the start;
Assess new tools and approaches, including the data requirements of AI and machine learning initiatives;
Advise on the governance of data used in AI and analytics models, including consent, bias and traceability;
Deliver data literacy training and communications so staff understand data policies and their role in them;
Support data migrations from legacy systems, ensuring data is mapped, cleansed and governed in the new systems.
This is the right role for you if:
8+ years of experience in data roles, including 3+ years in data architecture and 2+ years establishing or running data governance;
Bachelor's degree in Computer Science, Engineering, Information Systems, Information Management or equivalent experience
Proven track record of defining a target data architecture and seeing it adopted by delivery teams;
Experience setting up or maturing a governance program: policies, ownership, a governance forum and data quality processes;
Ability to influence senior stakeholders and delivery teams without line authority;
Clear writing skills: standards, recommendations and decision records that non-specialists can follow;
Construction industry experience an asset;
Knowledge and experience in the following:
Data modelling (conceptual, logical and physical; dimensional and relational);
Cloud data platforms (e.g. Azure Synapse/Fabric, Snowflake, Databricks);
SQL, data integration and ETL/ELT patterns;
Data governance frameworks (DAMA-DMBOK or DCAM);
Data catalogue and governance tools (e.g. Microsoft Purview, Collibra, Alation);
Privacy and data protection requirements (e.g. PIPEDA);
Certification such as CDMP, TOGAF or a cloud architect credential an asset.
The salary range for this role is $130,000 - $150,000.
EllisDon is proud to provide this unique career opportunity that provides continuous learning, opportunity for growth, and a competitive compensation package within an environment that is committed to inclusion and respects diversity.
Go ahead and be yourself. We'll pay you for it!
About EllisDon
EllisDon is a world-leading construction and building services company that completes in excess of $4 billion worth of contracts annually, in every market sector and across the globe. Over the last 65 years, they have grown from being a general contractor to a multi-faceted company that can deliver any aspect of a project.
EllisDon Careers
Joining EllisDon means becoming part of a dynamic team of professionals who are committed to redefining success in the construction industry. At EllisDon, the focus is on innovation, leadership, and a culture of diversity that drives every project forward.
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EllisDon believes that diversity is the key to a robust workplace. The company invests in diversity training and leadership programs that empower employees from all backgrounds to excel and lead. Professional growth is supported through comprehensive training programs and a culture that values diverse perspectives and ideas.
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