Data Engineering Manager

Job Description

We are seeking a Data Engineering Manager to lead initiatives in the digital and retail marketing domain, focusing on customer data, analytics, and foundational metrics. This role requires strong technical expertise, leadership skills, and the ability to deliver scalable data solutions that enable advanced analytics and reporting.

Key Responsibilities

• Lead and manage a team of data engineers, ensuring timely delivery and execution of projects.
• Design and build data pipelines integrating multiple sources into platforms like Snowflake and BigQuery, transforming data for dashboards, reports, and deep analytics.
• Partner with marketing and digital teams to develop solutions for :

o Customer Data Platform (CDP) expansion and orchestration.

o Warranty platform onboarding.

o Foundational metrics (acquisition cost, funnel analysis, campaign performance).

o Digital reporting and analytics (Google Analytics, Quickstream data).

o Customer behavior analysis (traffic drivers, abandoned cart signals, engagement metrics).

o Marketing campaign measurement and optimization.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity / affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and / or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy :

Required Skills & Experience

10+ years of overall Data Engineering experience

Proven experience in Data Engineering leadership leading teams

Strong technical and architectural knowledge in :

Cloud platforms : GCP preferred with BigQuery (Redshift, Databricks, Azure Synapse, or similar)

Languages : Python

Orchestration tools : Airflow, Prefect, Composer

ETL tools : Informatica, Google-native solutions

Streaming : Kafka

Background in retail, e-commerce, digital, or marketing analytics; experience with customer measurement highly desirable.

Ability to manage hybrid teams (onsite and offshore) and deliver complex projects.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and / or other paid time off as provided by applicable law.