Data Engineering Manager

Data Engineering Manager

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:
• Customer Data Platform (CDP) expansion and orchestration.
• Warranty platform onboarding.
• Foundational metrics (acquisition cost, funnel analysis, campaign performance).
• Drive projects such as:
• Digital reporting and analytics (Google Analytics, Quickstream data).
• Customer behavior analysis (traffic drivers, abandoned cart signals, engagement metrics).
• Marketing campaign measurement and optimization.
• Collaborate cross-functionally with data science, marketing, e-commerce, and product teams.
• Provide architectural guidance and ensure best practices in data engineering.

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 HR@insightglobal.com.

Skills and Requirements

• 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.