AWS Data Architect

3 weeks ago


Calgary, Canada Pembina Pipeline Corp. Full time
p>Pembina Pipeline Corporation is a dynamic energy transportation and midstream provider, serving customers for more than 65 years. We own pipelines that transport hydrocarbon liquids and natural gas products produced primarily in Western Canada. Our operations allow us to offer a full state of midstream and marketing services to our customers in the energy industry.

We are an organization that cares not only about results, but how those results are achieved. p>

We value the safety of our communities, customers, contractors, and employees, and believe that all incidents are preventable. Compliance with all policies, procedures, and regulations is a requirement.

Overview:

Pembina is looking for a data architect to join our Information Services Unit (ISU). Reporting to the Director, Data Services & Enablement, the Data Architect plays a key role in implementing our Data Strategy across process, people, and technology areas. They will represent and collaborate with the Data & Analytics teams to guide the design of data systems and ensure alignment with various data initiatives to meet business goals.

Responsibilities may include but are not limited to:
  • Further develop and define plans and roadmaps to execute Pembina’s Data Strategy;
  • Engage, collaborate, coach, and mentor stakeholders across Information Services Units and Business Units;
  • Facilitate idea generation, early prototype development, and encourage innovation across Data & Analytics teams;
  • Provide guidance as a technical data leader on approaches for day-to-day operations, enhancements, and project teams;
  • Define requirements in data governance, access management, cataloguing & quality management processes.
Qualifications:
  • Experience in data management, data warehouses, data science, data architecture, and data modelling approaches is required;
  • Preferred experience in Microsoft (Azure, PowerPlatform, Fabric), Databricks, Palantir, AVEVA PI, and ERP systems;
  • Passion for technologies that leverage varying Analytics and Artificial Intelligence techniques;
  • Knowledge of data privacy, confidentiality, and applicable regulations (PIPEDA, FERC, etc.);
  • Degree or Diploma in Computer Science, Engineering, Data Science, or related field.

    We treat our people well through our total rewards package, community engagement, and volunteer opportunities, all in an equitable, safe, respectful, inclusive, and accessible environment.



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