Lead a senior engineering bench to shape the data platforms behind marketing analytics and activation. This role drives technical vision, standards, and cross‑functional collaboration across a growing AI‑focused unit.
What You’ll Do
- Architect and maintain scalable data pipelines and ETL/ELT workflows.
- Design and optimize data models for warehouse and lakehouse environments.
- Partner with analysts, data scientists, and stakeholders to deliver high‑quality data products.
- Establish engineering best practices, code review standards, and documentation norms.
- Evaluate and champion new data technologies and frameworks.
- Oversee DE support intake process and ensure SLA compliance.
What You Need
- 12+ years of data engineering, including cloud warehouse/lakehouse architecture.
- 6+ years leading senior or staff engineers.
- Expert in SQL and Python with strong dimensional modeling skills.
- Hands‑on experience with Snowflake and Iceberg‑style lakehouse formats.
- Proficiency with Airflow, dbt, or similar orchestration tools.
- Experience integrating marketing/ad platform data such as Meta or Google Ads.
- Proven record setting engineering standards and governance policies.
Good to Have
- Background in Marketing Technology or CRM data ecosystems.
- Familiarity with Salesforce Marketing Cloud data structures.
- Experience working in a globally distributed team.
The Opportunity
Join a team pioneering Agentforce, Salesforce’s AI‑driven platform, while benefiting from a culture that values inclusion and work‑life balance.