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We are looking for a Senior Data Architect - Remote / Telecommute for our client in Edmonton, AB
Job Title: Senior Data Architect - Remote / Telecommute
Job Location: Edmonton, AB
Job Type: Contract
Job Overview:
Requirement/Must Have:
We are looking for a Senior Data Architect - Remote / Telecommute for our client in Edmonton, AB
Job Title: Senior Data Architect - Remote / Telecommute
Job Location: Edmonton, AB
Job Type: Contract
Job Overview:
Requirement/Must Have:
- Minimum 10 years of Data Architect experience, or equivalent combination of education and experience as required.
- Strong experience dealing with clients and explaining complex data principles in a thoughtful and clear manner.
- Minimum 5 years of experience defining technical architecture, data integration, and supporting software development, configuration, and deployment processes.
- Minimum 5 years of experience designing, planning, implementing, and supporting data platforms and data solutions for large, complex environments involving multiple data sources.
- Minimum 5 years of experience across multiple architecture domains, including business, application, technology, data or information, security, and privacy.
- Minimum 5 years of experience modeling complex business processes and translating them into understandable IT constructs.
- Strong experience leading enterprise and solution architecture for data platforms and data products.
- Strong experience with enterprise data models, data quality frameworks, metadata standards, and data governance best practices.
- Strong stakeholder engagement skills with experience facilitating workshops, discovery sessions, and consensus-building across technical and business groups.
- 10 years of Data Architect experience, or equivalent combination of education and experience as defined by the client.
- 3 years of experience working directly with clients and communicating complex data concepts.
- 5 years of experience in technical architecture, data integration, software development support, configuration, and deployment.
- 5 years of experience designing and supporting enterprise-scale data platforms and data solutions across multiple data sources.
- 5 years of experience across business, application, technology, data, security, and privacy architecture domains.
- 5 years of experience modeling complex business processes and translating them into technical solutions.
- Experience supporting data modernization, cloud migration, and application modernization initiatives.
- Experience designing and delivering enterprise data products, data linkages, crosswalk frameworks, and integration patterns.
- Lead the design and delivery of enterprise and solution architecture for data platforms and data products.
- Define and govern enterprise data models, architecture standards, and best practices.
- Translate business strategies and priorities into scalable data architecture solutions.
- Provide thought leadership in data management and analytics architecture.
- Support the design, development, and delivery of data products within Data Fabric and Data Mesh frameworks.
- Guide the implementation of data linkages, crosswalk frameworks, and integration patterns.
- Establish frameworks for data quality, metadata management, and AI-enabled data assets.
- Model proof-of-concept solutions, including data integration and orchestration approaches.
- Lead workshops, discovery sessions, and stakeholder engagements to define requirements and business value.
- Provide architectural consultation and recommendations to leadership, project teams, and stakeholders.
- Prepare and deliver presentations to steering committees and senior stakeholders.
- Facilitate consensus on complex data and technology solutions across diverse groups.
- Define and promote best practices in data governance, data sharing, data integration, and data quality.
- Support data modernization initiatives, including cloud migration and application modernization.
- Evaluate and recommend emerging technologies to optimize data product delivery and cost efficiency.
- Ensure alignment with enterprise priorities, including security, privacy, information management, and data classification.
- Collaborate with data architects, engineers, scientists, and product teams to ensure consistent architecture across initiatives.
- Review designs, data models, and pipelines, providing guidance on optimization and performance.
- Support the development of sustainable and scalable data product delivery processes.
- Manage tasks, risks, and action items, including escalation as required.
- Coach, mentor, and support team members in developing innovative data solutions.
- Promote a client-centric, service-oriented delivery approach.
- Foster a culture of innovation, continuous improvement, and data as a strategic asset.
- Build and maintain strong relationships with internal and external stakeholders.
- Deliver architecture designs, models, recommendations, data product and platform design artifacts, proof-of-concept implementations, technical assessments, and status reports.
- Hands-on experience in business requirement analysis, solution architecture, and deployment related to data management, acquisition, preparation, quality, and data lineage or provenance.
- Demonstrated ability to lead initiatives, facilitate workshops, and communicate effectively with senior management and cross-functional stakeholders.
- Hands-on experience delivering cloud-based data and analytics solutions using platforms such as Azure and Snowflake.
- Experience designing and delivering scalable data products such as curated datasets, APIs, and semantic layers.
- Experience designing architectures for machine learning, data science, advanced analytics, feature engineering, model training pipelines, MLOps, model monitoring, and synthetic data use cases.
- Experience developing training materials and enabling teams on data, analytics, AI best practices, governance, and platform adoption.
- Experience defining and implementing enterprise data and AI strategy, governance frameworks, standards, operating models, and technology roadmaps.
- Experience with big data and cloud-based platforms such as Cloudera Data Platform, and modern architectural paradigms such as Data Fabric and Data Mesh.
- Experience with enterprise architecture frameworks such as TOGAF, Gartner, or Zachman.
- Experience working in or for the public sector.
- Hands-on experience implementing data security and privacy controls, including de-identification, anonymization, and data audits.
- Familiarity with Responsible AI principles, including fairness, bias detection, explainability, and AI risk assessments.
- University degree in Business, Management, or a related discipline with 6 years of Data Architect experience.
- 2-year diploma in Business, Management, or a related discipline with 8 years of Data Architect experience.
- 1-year certificate in Business, Management, or a related discipline with 9 years of Data Architect experience.
- 10 years of Data Architect experience in place of formal education.