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Senior Enterprise Data Architect to develop Enterprise Data Roadmaps to address technical debt, policies, processes & strategies in the Oil & Gas S

Calgary, AB
  • Number of positions available : 1

  • To be discussed
  • Contract job

  • Starting date : 1 position to fill as soon as possible

Our client is seeking as Senior Enterprise Data Architect to develop Enterprise Data Roadmaps to address technical debt, policies, processes & strategies in the Oil & Gas Sector. (Req: 9048)


Calgary candidate for 1 year contract, 4 days per week in downtown Calgary


Must Have:

  • 2+ years Enterprise Architecture experience with a focus on data & information
  • 7+ years as a Data Architect or Solution Architect (Data)
  • Technical Debt reduction experience
  • Experience developing architecture Roadmaps, strategies & policies
  • TOGA, ITAC, ITIL, DAMA, CDMP or other relevant certifications


Nice to Have:

  • Oil & Gas Experience
  • SAP


Responsibilities:

  • Report to Senior Manager Enterprise Architecture, create Enterprise IT Roadmaps addressing technical debt and generate value while focusing on cost containment.
  • Provide expert technical leadership in developing the strategic direction for Data & IT architecture, standards, principles. Develop decision records supporting architectural changes, technology selection process, and new application requests.
  • Contributing to the definition, implementation and governance of enterprise Data & IT and architecture plans, policies, and standards to guide the development, integration, implementation and maintenance of infrastructure, software applications and solutions.
  • Reviewing initiative and project documentation (e.g. Solution Designs) throughout their lifecycle to report on their status to the Enterprise Architecture team and ensure compliance
  • Providing advice regarding technology risk assessments, total cost of ownership (TCO), problem resolution and project issues.
  • Developing data management standards and practices, especially those effective in ensuring data quality and data integrity across the corporation as part of the identification and definition of cross-enterprise data entities.
  • Supporting the business and projects with integration architectures, including application (ESB, SOA, EAI, BPM), data (ETL/ELT/CDC) and event-based (EDA) methods.
  • Providing guidance and consultation to individuals and groups to ensure on-going projects and initiatives are in alignment with the corporate data architecture and the evolution of key enterprise data/information management platforms supporting analytics (Data Warehouse/Lakes), content management (ECM) and geospatial analysis (GIS).


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