Senior Enterprise Data Architect to develop Enterprise Data Roadmaps to address technical debt, policies, processes & strategies in the Oil & Gas S
S.i. Systems
Calgary, AB-
Number of positions available : 1
- Salary To be discussed
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Contract job
- Published on November 7th, 2024
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Starting date : 1 position to fill as soon as possible
Description
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).
Requirements
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