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Senior Enterprise Architect

  • Canada
  • Remote
  • Posted Oct 9, 2026
  • 1 position

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Employment type
Contract
Experience level
Senior · 8+ years
Minimum education
College diploma
Posting language
English
Working hours
40 hours per week
Location requirements
Country, Alberta, Canada
Seniority
Mid-Senior level
Application method
Direct apply is available

Job summary

Define and guide enterprise data architecture and integration across regulatory, environmental, and geospatial platforms, including Databricks lakehouse solutions and spatial data flows. Establish governance, security, and quality practices while advising stakeholders, supporting Agile delivery, and providing technical leadership and architecture documentation.

Job details

Position Title: GOAPRDJP00001043 – Senior Data Architect Location: Edmonton, Alberta — Remote within Canada Mode: Contract Client: Government of Alberta Position Overview The successful candidate will define how regulatory, environmental, and spatial data is structured, integrated, governed, secured, and exchanged across enterprise platforms. The role will focus on creating trusted, timely, reusable, and scalable data solutions that support regulators, decision-makers, and Albertans. The Data Architect will work within a multidisciplinary Agile team consisting of developers, data engineers, GIS specialists, business analysts, product owners, enterprise architects, cybersecurity professionals, and other technical stakeholders. Key Responsibilities Data Architecture & Solution Design Define and maintain the target-state data architecture for integrating DRAS, the Databricks Data Management Platform, and the Alberta Geospatial Platform. Develop conceptual, logical, and physical data models for regulatory, environmental, and geospatial data domains. Design scalable enterprise data architecture solutions aligned with business capabilities and technology strategies. Establish appropriate integration patterns, including: Batch processing Near-real-time integration Event-driven architecture REST/API-based integration ETL/ELT Change Data Capture (CDC) Design and implement lakehouse architecture using Databricks, including Bronze, Silver, and Gold/Medallion layers, Delta Lake, Spark, and Unity Catalog. Architect spatial data flows while maintaining geometry, coordinate reference systems, spatial accuracy, and data integrity. Apply enterprise architecture principles, standards, methods, tools, policies, and best practices. Data Integration & Delivery Lead the architecture and design of data pipelines and system interfaces between DRAS and related enterprise platforms. Work closely with data engineers, developers, GIS specialists, and technical teams to translate architecture into implementable solutions. Define data contracts, API specifications, interface agreements, schemas, and integration standards. Resolve complex integration challenges involving data quality, schema evolution, latency, dependencies, and system interoperability. Support Agile delivery through sprint planning, backlog refinement, sprint reviews, and technical design activities. Translate architecture decisions into actionable technical requirements and user stories. Provide technical guidance throughout development, testing, deployment, and implementation. Data Governance, Security & Quality Establish and promote data governance practices across integrated platforms. Define approaches for metadata management, data lineage, data classification, master data, and reference data. Develop data quality rules, validation frameworks, monitoring mechanisms, and quality controls. Ensure architecture and data solutions comply with Government of Alberta security, privacy, information management, and records-management requirements. Apply appropriate role-based access controls and data-sharing policies based on data sensitivity. Participate in threat and risk assessments and provide recommendations for risk mitigation to senior management. Ensure enterprise data solutions address security, privacy, availability, scalability, performance, and maintainability requirements. Leadership & Stakeholder Management Act as a trusted Data Architecture advisor to program leadership, product owners, business stakeholders, and technical teams. Lead architecture discussions and provide recommendations on complex technical and data-related decisions. Work with business areas to understand regulatory processes and translate business requirements into data architecture solutions. Collaborate with Enterprise Architecture, Cybersecurity, GIS, platform teams, and other Government of Alberta ministries. Prepare architecture documentation, solution diagrams, data models, technical specifications, and architecture decision records. Provide leadership, planning, estimation, and presentations of technical ideas and proposed solutions. Mentor technical team members and promote enterprise data architecture best practices. Communicate complex technical concepts clearly to technical and non-technical stakeholders. Mandatory Qualifications Education College or Bachelor's degree in Computer Science, Information Systems, Engineering, Geomatics, or a related field. Professional Experience 8+ years of experience designing, planning, implementing, and supporting enterprise solution databases in an environment comparable in size and complexity to the Government of Alberta. 8+ years of experience documenting enterprise solution databases within a large and complex enterprise IT environment. 6+ years of experience performing Threat and Risk Assessments (TRA) and presenting risk-mitigation recommendations to senior management. Demonstrated experience providing technical leadership, planning, estimation, and presentations of ideas and solutions. 8+ years of experience with enterprise architecture principles and associated best practices, methods, standards, tools, policies, and processes. 8+ years of experience working as a Data Architect in an enterprise IT environment comparable in size and complexity to the Government of Alberta. Preferred / Nice-to-Have Qualifications TOGAF certification or equivalent enterprise architecture certification. 5+ years of experience designing and implementing enterprise architecture database plans and models aligned with business capabilities in a large enterprise environment. 4+ years of experience using architecture/data modelling tools such as: 4+ years of experience project managing application development initiatives using Agile/Sprint methodologies. 5+ years of experience working with cloud computing, big-data platforms, or related infrastructure. 4+ years of experience with enterprise Business Intelligence and Performance Management platforms, including: 4+ years of experience as a Data Architect designing and implementing enterprise database solutions within a large and complex organization. 5+ years of experience developing and working with SQL databases. 5+ years of experience implementing SQL data warehouses. 5+ years of experience querying data using Transact-SQL (T-SQL). Previous experience working with the Government of Alberta (GoA) is a strong asset. Experience with government regulatory, environmental, or public-sector systems is highly desirable.

What you’ll do

Define and guide enterprise data architecture and integration across regulatory, environmental, and geospatial platforms, including Databricks lakehouse solutions and spatial data flows. Establish governance, security, and quality practices while advising stakeholders, supporting Agile delivery, and providing technical leadership and architecture documentation.

Requirements

Requires a college or bachelor’s degree in a relevant field, at least eight years of enterprise data architecture and database experience, and at least six years conducting threat and risk assessments. Candidates must also demonstrate enterprise architecture expertise and technical leadership; TOGAF certification, cloud and big-data experience, SQL data warehousing, and Government of Alberta experience are preferred or advantageous.

Listed skills

  • SQL · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Data Architecture
  • Enterprise Architecture
  • Data Modeling
  • Data Integration
  • Databricks
  • Lakehouse Architecture
  • Delta Lake
  • Apache Spark
  • Unity Catalog
  • Geospatial Data
  • Data Governance
  • Data Security
  • Threat and Risk Assessment
  • SQL
  • T-SQL
  • Agile Delivery

Job areas

  • Data & Analytics
  • Technology
  • Government & Public Sector
  • Software
  • Management & Leadership

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