Manager of Data Engineering (Springfield)

Were seeking a Manager of Data Engineering & Analytics to lead the development, enhancement, and delivery of data pipelines, analytics solutions, and customer-focused data products which power key Marketing and eCommerce initiatives. This role oversees Snowflake and GCP-based environments, manages offshore vendors, and partners closely with Marketing to provide actionable insights and high-quality data products. The ideal candidate blends strong data engineering expertise with an understanding of how customer and behavioral data fuel omnichannel campaigns and digital experiences.

Responsibilities

• Lead data engineering initiatives across Omnichannel, CDP, and eCommerce data environments, leveraging Snowflake, BigQuery, GCP Cloud Functions, and real-time streaming pipelines.
• Oversee the design, creation, and optimization of ELT pipelines, particularly GFO (Google Analytics) data pipelines, powered by large-scale datasets and growing use cases.
• Provide clear, actionable insights to Marketing teams and deliver dashboards / presentations to Marketing leadership.
• Manage offshore vendors, including performance oversight, deliverables, headcount approvals, and budget management.
• Collaborate with a Product Owners and Business Analysts to translate business requirements into scalable data solutions.
• Ensure high-quality data ingestion, transformation, cleansing, and integration to support marketing campaigns and customer engagement strategies.
• Support and influence analytical environments using tools such as Domo, Sigma, and upcoming BI platforms.
• Drive architectural decisions related to Snowflake schema design, BigQuery usage, real-time data streaming, and ELT processes.
• Maintain a strong understanding of how customer behavior, digital interactions, and analytics data inform omnichannel marketing strategies.

Must-Haves

Nice-to-Haves