Senior AI Data & Analytics Engineer II

Role overview

Build the data and AI foundation behind marketing analytics, automation, and self-serve insights for a company serving industries with large physical operations. You’ll help set the technical roadmap and turn unclear business needs into dependable data products, models, pipelines, and AI-enabled workflows.

Responsibilities

- Shape a multi-quarter roadmap for marketing data and AI in partnership with analytics and data science colleagues. - Architect and own ETL/ELT pipelines, Databricks Gold Layer tables, and data models used for segmentation, targeting, automation, and analytics. - Develop semantic layers, data dictionaries, and documentation that support self-serve business intelligence and conversational analytics. - Translate questions from Marketing, Sales, and R&D into scalable solutions, using evidence and sound judgment to guide decisions. - Lead cross-team pipeline and integration work, managing dependencies and owning reliability and data quality. - Set technical standards, review code, mentor engineers and analysts, and remove bottlenecks across teams. - Develop AI-enabled data products and agents, including integrations, retrieval pipelines, and evaluation practices; identify manual workflows to automate. - Deliver Python and SQL solutions, including by directing coding tools and carefully reviewing their output.

Requirements

- The available source describes a senior technical lead role, but does not include a complete list of required years of experience or qualifications. - The work calls for strong Python and SQL skills, data engineering experience, and the ability to lead complex initiatives across teams. - Candidates should be able to turn ambiguous business questions into clear technical plans and dependable systems. - The role requires attention to data quality, reliability, engineering standards, and verification of AI-assisted work.

Benefits and work setup

- Open to candidates residing in the United States. - Flexible work arrangements may include office, hybrid, or remote work depending on role requirements. - The listing mentions professional development support and comprehensive health and parental leave plans.