Senior Data Architect

Job Summary:

We are seeking a senior Data Architect to lead the data strategy for a high-impact legacy system replacement within the Alberta Public Sector. This critical role ensures that the transition from a legacy trust administration system to a modern Microsoft Dynamics (CRM & Finance) ecosystem meets all strategic security and technical objectives.

Responsibilities:

1. Architecture Leadership

• Define/document data architecture (data requirements strategies/plans architecture design principles models integration diagrams etc.)

• Lead solution architecture and design on cloud and key data platforms. Ensure alignment with business requirements

• Lead design and governance of schemas tables relationships security roles and data access patterns

• Promote data models and practices to reduce redundancy

• Guide platform/infrastructure teams to configure data platform services to meet solution requirements.

• Participate in planning on implementation strategy technology stack design patterns and process

• Advise on configuration vs customization to support long term sustainability

• Review/approve vendor delivered data designs strategies and implementations

• Advise and coach teams throughout project. Provide knowledge transfer

1. Enterprise Data Architecture

• Define end to end data architecture including all integrated applications and systems; develop conceptual logical and data models aligned with platform standards enterprise data policies including Dataverse data modeling

• Ensure architectural alignment across system modules integrated applications Power Platform components Azure and downstream reporting environments

• Establish data architecture principles and standards consistent with GoA architecture frameworks

• Architect integrations between solution and external systems including legacy platforms document repositories etc

• Ensure data exchanges meet security privacy and auditability standards

• Work with Microsoft Dynamics to design how data is organized stored integrated and managed across Dynamics 365 ecosystem and broader Microsoft cloud environment (Power Platform Azure Fabric)

• Work with Microsoft Dynamics Finance & Operations for managing financial data

1. Data Migration

• Serve as GoA lead in data mapping from legacy platform to the new application ensuring accurate lineage transformations and alignment with new data models

• Collaborate with vendor to validate mapping logic support build activities and ensure mappings are technically feasible

• Work with business areas to define/confirm data rules resolve data gaps and ensure mappings support functional operational and reporting needs

• Lead data migration strategy. Define extraction transformation cleansing and validation approaches aligned with business rules. Ensure data integrity traceability and reconciliation throughout migration activities

• Support parallel-run and cutover strategies to minimize business disruption

1. Data Lakehouse Architecture & Design

• Define data warehouse/lakehouse approach and architecture and related requirements

• Define storage archival and retrieval approach for legacy data and target data structures and storage solutions for new system data to ensure performance and long term maintainability

• Use Microsoft tools to create a modern data warehouse/lakehouse (e.g. Azure Services - Azure Data Lake Storage Azure Synapse Analytics and Azure Databricks for big data processing analytics data warehousing)

• Design data mesh/lakehouse architectures using Microsoft Azure technology stack to unify data management and analytics.

1. Data Quality & Readiness

• Define data quality standards validation rules and acceptance criteria for migrated and operational data

• Support business validation activities including sampling reconciliation and exception management

• Ensure data readiness across project stages (e.g. user acceptance testing training go-live)

• Identify and mitigate data-related risks early

1. Data Governance & Compliance

• Ensure compliance with GoA policies - privacy records management data retention access control etc

• Define and enforce data classification retention schedules and information lifecycle management within platform and integrated platforms

• Collaborate with security privacy records management teams to implement data governance practices/controls. Support audits compliance reviews architectural assurance processes

1. Reporting

• Ensure new solution and data architecture enable effective reporting/analytics including in solution dashboards and Power BI reports

• Define data flows into reporting platforms and downstream analytics environments

• Ensure consistency between operational and analytical data models

• Ensure architecture security enforcing data/reports are only accessible to certain individuals/groups

• Implement anonymization restricting access to sensitive data from certain individuals/groups

1. Delivery Oversight

• Oversight across Agile delivery cycles ensuring data considerations are embedded early in design and backlog refinement

• Participate in sprint planning backlog grooming and design reviews from an architecture perspective

• Identify dependencies risks constraints impacting timelines. Support realistic sequencing/release planning for data-related work

• Develop project plans/schedules and estimates for data activities. Develop task lists and resource assignments to ensure completion of data activities

1. Vendor & Stakeholder Collaboration

• Collaborate/consult effectively with project stakeholders. Review vendor deliverables for compliance/quality

• Translate technical data concepts risks options and recommendations into clear actionable guidance for business stakeholders. Provide strategic guidance. Support executive decision-making

• Document technical recommendations

Requirements:

• Experience as a Data Architect planning designing documenting and implementing enterprise data architectures for large complex cloud-based application development projects in an environment equivalent in size and complexity to the Government of Alberta.

• Experience designing solutions that enable complex reporting and analytics in Power BI

• Experience developing and presenting complex data concepts recommendations and decisions in an easy-to-understand manner to non technical stakeholders and senior leadership.

• Experience developing conceptual logical and physical data models aligned with enterprise data policies including within Microsoft Dataverse.

• Experience implementing data management platforms/solutions and applying enterprise architecture principles methods standards tools and best practices.

• Experience leading the definition of detailed data mapping and data migration activities for large enterprise implementations.

• Experience with data transformation and data orchestration techniques

• Experience working with Microsoft Dynamics 365 including how data is managed across the Dynamics platform and in the Microsoft Cloud ecosystem

• Certification in The Open Group Architecture Framework (TOGAF).

• Active Azure certificates: AZ-305. Please attach to the bottom of the resume

• Experience applying enterprise data architecture principles methods standards tools and best practices.

• Experience as a Data Architect planning designing documenting and implementing enterprise data architectures for large complex cloud-based application development projects in an environment equivalent in size and complexity to the Government of Alberta.

• Experience defining data architecture for large/complex Financial enterprise solutions/systems.

• Experience developing and presenting complex data concepts recommendations and decisions in an easy-to-understand manner to non technical stakeholders and senior leadership

• Experience developing conceptual logical and physical data models aligned with enterprise data policies including within Microsoft Dataverse.

• Experience in Agile Projects

• Experience in performing security threat and risk assessments including defining mitigations.

• Experience leading and coaching data and project teams through large-scale implementations including data readiness data quality data storage.

• Experience leading and designing data migration activities for large-scale implementations from legacy application to cloud in Azure.

• Experience with data transformation and data orchestration techniques and tools including ETL/ELT data quality and metadata management

• Experience with enterprise business intelligence products such as Microsoft Power BI

• Experience with Microsoft tools to create a modern data warehouse (e.g. Azure Services such as Azure Data Lake Storage Azure Synapse Analytics and Azure Databricks Microsoft Fabric for big data processing analytics and data warehousing)

• Experience working in or for the public sector.

• Experience working with implementing a SQL data warehouse.

• Experience working with Microsoft Dynamics 365 including how data is structured stored integrated and managed across the Dynamics platform and in the Microsoft Cloud ecosystem (Power Platform Azure Microsoft Fabric).

Mindtris a minority women-owned enterprise is at the forefront of digital transformation technology excellence and business growth solutions. Specializing in talent mobilization and innovation we are dedicated to enhancing customer experiences across diverse sectors such as Information Technology Telecommunications Healthcare Engineering and the Public sector. With a focus on deploying top-tier talent and fostering innovation we empower businesses to thrive and excel in a rapidly evolving digital landscape helping them reach new heights of success. Mindtris is committed to fostering workforce diversity and is proud to be an equal opportunity employer.