Sr. Manager, Global Data Engineering, Circle K

Circle K

Location:

United States, Charlotte

Category:

IT - Software Development

Contract Type:

Employment contract

Salary:

Not provided

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Job Description:

As the Sr. Manager, Global Data Engineering, your primary responsibility will be to manage a team of Data Engineers and Managers, including Development and Production Support functions. You will provide leadership in guiding the Global Data Engineering team (onshore and offshore), fostering collaboration with cross-functional teams, and spearheading initiatives geared towards fortifying our data infrastructure, CI/CD pipelines, and analytics capabilities.

Job Responsibility:

Providing Global Data Engineering and BI team’s leadership for large initiatives, both directly and indirectly through a team of technical leads
Identifying process improvement opportunities, leading the efforts to improve those processes and implement the change across the team
Ensuring that the Data Engineering team has standards in place for their work and for the work of third-party vendors and that all parties adhere to those standards
Growing and developing your team members and optimizing your team’s performance via strong people management skills
Collaborating with business stakeholders to scope and prioritize data engineering initiatives
Executing the required performance management requirements for your direct reports (employees) including but not limited to setting annual objects / KRAs, mid-year and year-end progress reviews, growth conversations, and succession planning
Applying advanced knowledge of Data Engineering principles, methodologies and techniques to design and implement data loading and aggregation frameworks across broad areas of the organization
Gathering and processing raw, structured, semi-structured and unstructured data using batch and real-time data processing frameworks
Implementing and optimizing data solutions in enterprise data warehouses and big data repositories, focusing primarily on movement to the cloud
Driving new and enhanced capabilities to Enterprise Data Platform partners to meet the needs of product / engineering / business
Leveraging strong Python, Spark, SQL programming skills to construct robust pipelines for efficient data processing and analysis
Implementing CI/CD pipelines for automating build, test, and deployment processes to accelerate the delivery of data solutions
Driving continuous improvement initiatives to enhance performance, reliability, and scalability of our data infrastructure
Collaborating with data scientists, analysts, and other stakeholders to understand business requirements and translate them into technical solutions
Implementing best practices for data governance, security, and compliance to ensure the integrity and confidentiality of our data assets

Requirements:

10+ years of experience in a data engineering role, with expertise in designing and building data pipelines, ETL processes, and data warehouses
5+ years of experience working as a Manager
Excellent interpersonal and communication skills: able to work across business lines at senior levels to influence and effect change to achieve common goals
Ability to effectively drive people, process, and technology change in a dynamic and complex operating environment
Demonstrated ability to work as part of a global team, including understanding how to navigate cultural differences in workstyles and communications
Strong, results-driven personality with a high level of enthusiasm, energy and confidence
Strong proficiency in SQL, specifically being able to handle window functions like rank, average, standard deviation
Python and PySpark programming languages
Strong experience with the Azure cloud platform
Experience working in a retail environment
Extensive experience working with Databricks and Azure Data Factory for data lake and data warehouse solutions
Experience in implementing CI/CD pipelines for automating build, test, and deployment processes
Hands-on experience with big data technologies (such as Hadoop, Spark, Kafka)

Nice to have:

Prior experience on working with offshore team (India, Europe, etc.)
Relevant certifications (e.g., Azure, Databricks, Snowflake) would be a plus
Experience working with Snowflake and/or Microsoft Fabric

Additional Information:

Job Posted:

March 23, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Sr. Manager, Global Data Engineering