Data Architect Position

4 weeks ago

Calgary, Alberta, Canada Plains Marketing LP Full time

About the Role

Plains Marketing LP is seeking a highly skilled Data Architect to lead our enterprise data modeling initiatives and make high-level design decisions. As a key member of our data architecture team, you will be responsible for overseeing the creation and maintenance of conceptual, logical, and physical data models, ensuring alignment with data quality, integrity, and governance standards.

Key Responsibilities

  • Lead the development and design of enterprise data models that align with business objectives and data strategy.
  • Define and implement data standards, policies, and best practices.
  • Review and optimize data architecture and inform the design of data integration processes and APIs.
  • Provide data modeling guidance and support to data engineering and data science teams.
  • Conduct data quality assessments and recommend data quality improvement initiatives.
  • Communicate and document data models and data flows to stakeholders.
  • Aid efforts to improve business performance through enterprise information solutions and capabilities, such as data cataloguing, master data management (MDM), metadata management, analytics, content management, data integration, and related information management or information infrastructure components.
  • Contributes to the formulation of data and information strategies, methodologies and tactics that will be utilized to achieve the organization's targeted business outcomes and the transition to a data-driven culture.
  • Assists in the execution and support of the Plains information strategy through consultation with business and IT stakeholders and the delivery of data and Data Architecture guidance and deliverables.
  • Provides data modeling and data design guidance to major projects.
  • Assists in the definition, development, maintenance and operation of the technology ecosystem that is implemented to discover, record, analyze, plan and transform the Plains information estate.
  • Creates and manages business information models in all their forms, including analytical or conceptual models, relational database designs, message models and others – both current state and future state.

Requirements

  • Bachelor's degree in computer science, system analysis or a related study, or equivalent experience.
  • A minimum of 7 years of experience in IT, with at least 2 years in information system design.
  • 5 years' experience of analytical or contextual data modeling is highly desirable.
  • In-depth experience of designing and implementing information solutions.
  • Hands-on experience with implementing data and analytics management programs is preferred.
  • Proficiency in MDM, business intelligence, and data warehouse design and implementation techniques, as well as data governance, quality, and security principles and practices.
  • A minimum of 3 years of experience working in a Midstream Oil and Gas context.
  • A minimum of 5 years working in an Upstream or Downstream Oil and Gas context, or within a Utilities context
  • Cleared criminal history (background) and satisfactory reference checks.

About Plains Marketing LP

Our employees drive our success. At Plains Marketing LP, hard work is rewarded with competitive compensation and a top-tier benefits program designed to keep you safe, healthy and happy. We work hard to deliver exceptional results to our stakeholders while also respecting our employees' need for personal and family time, which is reflected in our great work-life balance. As part of our goal to be an employer of choice, Plains Marketing LP is also committed to doing business in a sustainable and responsible manner. To learn more about our Sustainability and ESG (environmental, social and governance) initiatives, visit our dedicated webpage.

Salary details estimated by job boards such as Indeed, Glassdoor, and LinkedIn do not represent Plains Marketing LP's compensation structure. We thank all candidates for their interest; however, only those selected for an interview will be contacted.

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