Data Architect

📋 Description

• Define and own enterprise data architecture strategy across core domains.
• Govern data standards, naming, schema design, and modeling best practices.
• Lead scalable data products across semantic and analytical layers.
• Partner with Product Data to align standards and contracts.
• Advise on data platforms, warehouses, lakehouse, and catalogs.
• Identify architectural gaps and data quality risks.

🎯 Requirements

• 8+ years in data architecture within a multi-team environment.
• Designed and governed enterprise data models across domains.
• Deep expertise in Snowflake, BigQuery, Databricks, lakehouse, dbt.
• Strong data modeling: dimensional modeling, Data Vault, OBT.
• Governance programs: metadata, lineage, data quality.
• Translate architecture decisions into business value; strong comms.

🎁 Benefits

• Competitive compensation plus ownership program.
• Flexible remote, hybrid, and in-office options.
• Generous time off and holiday breaks.
• Wellness programs and mental health support.
• Learning and development tools and tuition reimbursement.
• The technology and tools you need to do your best work; inclusive culture.