Senior Staff Data Engineer

Join our team as a Senior Staff Data Engineer, where you will build and lead a team of data and infrastructure engineers, set the technical roadmap, and own the data platform end to end. You will also be responsible for data governance, operational reliability, and leading the agentic analytics program. Additionally, you will set the standard for analytics across the company and partner with various teams across the organization. Enjoy a range of benefits including six weeks of paid vacation, equity options, and a monthly fitness and wellness allowance.

• Construire et diriger une équipe d'ingénieurs en données et en infrastructure, en fixant des normes techniques élevées et en développant les talents.
• Définir la feuille de route de la fondation des données de l'entreprise, en prenant des décisions éclairées sur les compromis et en gérant l'impact interfonctionnel.
• Posséder la plateforme de données de bout en bout, y compris l'ingestion, l'orchestration, la modélisation et le service, tout en garantissant la gouvernance des données.

• A record of setting a team’s roadmap from company or function strategy and delivering outcomes that span teams, with the cross-functional partnerships to match
• Comfort operating in ambiguity, leading a multi-workstream roadmap, and working directly with executives on priorities
• Exposure to data security and governance: IAM, access management, VPC service controls or equivalent, audit and compliance workflows
• Production experience with cloud data warehouses (BigQuery, Snowflake, or similar), workflow orchestration (Airflow or similar), and infrastructure as code (Terraform or similar)
• Operational excellence you can point to: alerting you trust, SLAs you meet, incidents you run to ground and write up so they teach
• Serious hands-on history in data engineering or infrastructure before management. You can still read a Terraform plan, a dbt DAG, or an Airflow scheduler log and ask the question that matters
• Genuine excitement about AI: you follow the research, have opinions, and are energized by building the data foundation an AI company (and its AI agents) runs on
• Depth in data modeling: you think in fact and dimension tables, raw/core/mart separation, and semantic layers, and you have opinions on where tests and contracts belong
• If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
• 10+ years of experience across data engineering, data infrastructure, or analytics platform work, with a strong management track record leading data platform or infrastructure teams