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Director, Data Engineering & Data Governance Platforms

Circle K Stores, Inc.
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Job Description
Maybe you’ve stopped by for a coffee, fueled up your car or grabbed something to eat on the go. Then you know Circle K is all about making everyday life easier for people all over the world. We are a Global Fortune 200 company and have grown into a successful global business with over 15,000 stores in 24 countries, serving more than 6 million customers each day. In all, we have more than 120,000 people working at our stores and support offices.
To support our future growth ambitions of doubling our business in the next several years, we are working on transforming customer experience using various digital & data capabilities. That’s where you come in, we are looking for a dynamic leader to lead our North America Data Engineering team and Global Data Governance platforms team as part of our Data and Analytics Engineering organization. For the right candidate, Circle K can offer a challenging and rewarding role working with a talented, global team. In this role you will own creating data delivery solutions for various strategic initiatives – Merchandise pricing, Assortments, promotions, and Loyalty, to name a few; and setting up tooling for Data Governance program.
The Director, Data Engineering & Governance platforms will be responsible for leading a global team of world-class Data/BI engineers & Software engineers to deliver solutions in support of the company’s data-driven strategy.
Responsibilities:

  • Collaborate with various Business function teams, data science team to build high quality, performant solutions that ensure stakeholder groups have access to the data they need.
  • Define a set of standard technologies & tools for the data platform, and drive the adoption, implementation, and ongoing sustaining of the data platform.
  • Collaborate with Data Strategy & Governance team in defining the strategy for our data governance program.
  • Own defining & executing the technology strategy for our Data governance program and setting up the required Data Governance tooling.
  • People management of Data engineers, Software Engineers & BI Engineers:  hiring, performance management, talent development, and maintaining a healthy team dynamic
  • Representing the engineering team on multiple project teams to ensure alignment on expectations and meeting commitments
  • Able to get things done without formal authority or reporting relationships, working across functions seamlessly, geographies and levels to get things done.
  • Enhancement of existing and development of new standards, best practices and frameworks that ensure repeatable and scalable solutions to deliver data to the enterprise (e.g. dev ops, CI/CD, peer code reviews, knowledge sharing, support model, etc.)
  • Budget/financial management
  • Participation in Scrum ceremonies with ability to lead as needed
  • Providing strategic technical direction to the team
  • Staying up to date on trends and technologies related to big data and analytics and making recommendations for data platform improvements
Qualifications:

  • 7+ years of relevant experience in managing engineering teams to deliver enterprise data solutions using Data Lake, Data warehousing and Business Intelligence capabilities.
  • At least 3 years of experience hiring and mentoring high caliber, data focused engineers with diverse technical strengths and background.
  • At least 2 years of experience and technical knowledge of Data Governance and Data Lineage tools like MDM, Meta data management and Data Quality tools.
  • Deep experience with data engineering, big data and analytical technologies using cloud-based data platforms
  • Expertise in SDLC (systems development life cycle) / Iterative / Agile / Scrum development
  • Ability to work with ambiguity as the organization continues to evolve
  • Strong leadership skills to move the team through a major change, initiative to drive change forward and identify solutions to potential obstacles
  • Strong communication and relationship-building skills to work collaboratively with business and Global Tech stakeholders
  • Demonstrated ability to work as part of a global team, understanding how to navigate cultural differences in workstyles, communication, etc.
  • Strong people management skills to help develop team members in the competency-based org structure
  • Ability to manage team and stakeholders that are remote in both North America and Europe
  • Flexibility to work across time zones
Technologies we use: 

  • Azure Data Lake
  • Azure Databricks
  • Azure Synapse
  • Snowflake
  • Azure Tabular models
  • Azure Data Factory
  • DevOps
  • Github
  • Power BI
  • Apache Airflow
  • Tibco EBX