Lead Product AI Data Engineer & Architect
Core
Design, build, and optimize end-to-end data architecture and scalable data platforms powering product analytics and AI-driven capabilities.
Role type
Lead Product AI Data Engineer & Architect
Builds
Enterprise-level product data architecture, scalable ETL/ELT pipelines, and distributed data workflows for analytics and AI.
Domain
Data Engineering / Data Architecture / AI/ML Infrastructure
Deliverable
production ML models | infrastructure
Required skills
SQL, relational database design, dimensional data modeling (star/snowflake schemas), SCD handling, surrogate keys, grain definition, ETL/ELT pipeline design, Python for data automation
Preferred skills
Cloud data warehouses (Snowflake, Databricks), dbt, Airflow, Fivetran, Segment, BI tools (Power BI, Tableau, SAP BusinessObjects), AWS/Azure/GCP, data governance
Technologies
Snowflake, Databricks, dbt, Airflow, Fivetran, Segment, Power BI, Tableau, SAP BusinessObjects, AWS, Azure, GCP
Responsibilities
Define and evolve enterprise-level product data architecture; Architect scalable ETL/ELT pipelines and distributed data workflows; Develop and enforce dimensional data modeling standards; Design and maintain fact and dimension tables; Establish data architecture principles and best practices; Serve as technical authority for architecture decisions and manage Data Architecture & Technical Leadership.
Seniority
Senior, hands-on IC with team-level technical leadership
