Data Engineering Manager - Customer Data

As a Data Engineering Manager, you’ll lead the development and maintenance of scalable data solutions that power customer experiences and digital products.
You’ll oversee data engineering teams responsible for customer data, analytics, identity resolution, and data activation capabilities.
The role combines technical leadership, people management, strategic planning, and delivery across a broad portfolio of data initiatives.
You’ll help turn complex customer data into actionable capabilities supporting personalization, omnichannel experiences, and business growth.
You’ll partner with product, technology, and business stakeholders to define roadmaps, prioritize opportunities, and deliver high-quality solutions.
The position also emphasizes talent development, operational excellence, security, and continuous improvement across the data engineering function.
This is a remote leadership opportunity for an experienced data engineering manager who can balance technical depth with strategic thinking and strong team leadership.

• More than 6 years of relevant professional experience, with substantial experience in data engineering, analytics, technology, or a related discipline.

• Demonstrated experience leading and managing data engineering teams, including hiring, mentoring, performance management, and career development.

• Strong experience providing technical direction and guidance across complex data engineering initiatives.

• Deep experience with customer data, analytics, omnichannel identity resolution, and data science models used to support personalization and customer activation.

• Hands-on or leadership experience with modern data engineering platforms such as Google BigQuery, Snowflake, and Databricks.

• Strong experience modeling complex data and designing scalable data solutions.

• Experience planning and managing resources to deliver projects and programs against defined objectives and timelines.

• Experience managing onshore/offshore teams and leading contractor or external delivery engagements.

• Strong understanding of data engineering practices, architecture, quality, governance, and operational processes.

• Experience managing a portfolio of projects or programs and communicating progress, risks, priorities, and decisions to senior stakeholders.

• Strong strategic mindset, with the ability to translate emerging technology and industry trends into actionable opportunities.

• Strong decision-making skills, including the ability to evaluate competing priorities, trade-offs, risks, and business requirements.

• Excellent communication and collaboration skills, with the ability to build effective partnerships across technical and business teams.

• Strong customer focus and the ability to connect technical solutions to customer needs and measurable business outcomes.

• Demonstrated ability to address difficult issues, make timely decisions, and take ownership of complex challenges.

• Strong coaching and talent-development skills, with a track record of building capable, engaged, and high-performing teams.

• High degree of integrity, accountability, authenticity, and professionalism.

• Strong interest in emerging technologies and the ability to evaluate and adopt tools that can improve engineering performance.

• A Master’s degree or equivalent level of education is preferred.