Data Architect, BI Analytics Platform

Required

• ❄️ Know Snowflake and the Medallion pattern inside out.
• You've run Snowflake (or equivalent) in production at scale, including RBAC, masking and row access policies, object tagging, resource monitors, and cost management. Experience with dbt, Terraform, and an orchestrator like Airflow or Dagster is a plus.
• 🗂️ Model data with intent.
• You're expert in dimensional (Kimball) and normalized modeling, ideally Data Vault too, and know when each one fits.
• 🛡️ Have a track record with PII and regulated data.
• You've handled classification, minimization, masking or tokenization, retention, and deletion in line with regulations such as CCPA, GDPR, or SOC 2.
• 🔎 Believe in lineage and observability.
• You've defined and met data SLAs, with the monitoring, alerting, and incident response to back them. Experience with catalog tools such as Atlan, Alation, Collibra, or DataHub is a plus.
• 🛠️ Engineer with discipline.
• Git workflows, code review, CI/CD, automated testing, and environment promotion are second nature. You favor automation over manual process and written decisions over tribal knowledge.
• 💬 Lead through influence.
• You can say no to a risky shortcut, explain why, and offer a workable alternative, and you earn trust from engineers and business stakeholders alike.