Enterprise Data Architect
Fulltime: Hybrid Work Model (2-3 days in the office)
Location: Calgary, Alberta
Staffing Placement Opportunity
Our client is looking to add an Enterprise Data Architect to join their team on a fulltime basis. This role offers the chance to help build and lead enterprise data architecture at a time of exciting transformation. Your duties will include but not be limited to;
Reporting to the Manager, Data Management, the Enterprise Data Architect will play a key role in shaping and executing data strategy, ensuring that our client's data infrastructure is robust, scalable and aligned with our strategic objectives
- Collaborating with IT and department management to implement data strategy, aligning it with the clients strategic goals.
- Capture, design and maintain data architecture blueprints, models, data flows, data integration processes and data storage solutions.
- Participating in defining, implementing and managing the enterprise data management and data governance, policies, and standards to guide the development, integration, implementation and maintenance of data infrastructures and systems.
- Developing data management principles, standards and best practices in conjunction with the Manager
- Regularly reporting on data quality across the organization and develop recommendations for improvement.
- Establishing processes and implement metadata management frameworks and tools to catalog, organize and govern data assets, ensuring data metadata accuracy and validity.
- Liaising with vendors and service providers to recommend the products or services that best meet company goals
What you bring:
- A university degree or college diploma in computer science, information systems, or computer engineering. Equivalent work experience would also be considered.
- A minimum of five years of experience as a data or information architect with progressing responsibilities.
- Relevant certifications (e.g. Azure or other cloud certification, TOGAF, DAMA, DCAM) .
- Deep understanding of enterprise data architecture principles, methodologies and best practices, including relational and dimensional databases, data lakes, data profiling, ETL/ELT processes.
- Experience business requirements gathering/analysis and ability to translate technical concepts into non-technical terms for diverse stakeholders.
- Extensive hands-on experience integrating, maintaining, and processing large datasets from multiple sources.
- Demonstrated experience creating blueprints for on-premise and cloud data solutions, data management platforms that meet business needs.
- Proficiency in data management technologies and tools such as SQL databases, cloud technologies, Git, Jira and Terraform, and metadata management and data governance tools like Purview or Collibra.
- Understanding of regulatory requirements related to data privacy, security and compliance and experience implementing corresponding controls and measures.
- A commitment to creating repeatable processes and maintaining documentation.
- A results-oriented and deadline-driven approach.
- Strong critical thinking, analytical and decision-making abilities.
Note: This job opportunity is with a Microserve client.