Senior Tableau & ThoughtSpot Governance Architect

Maven Companies; Beverly Hills (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Maven Companies in Beverly Hills, CA is seeking a Senior BI Architect with Tableau and ThoughtSpot experience to lead governance and data quality initiatives across enterprise reporting.

You will own site/workspace governance, define standards for certified data sources and semantic models, and collaborate with data engineering to align pipelines with governance controls. Strong RBAC, data classification, and metadata lineage skills are essential.

Qualifications

• Experience as BI architect or governance owner.
• Proficient in Tableau and ThoughtSpot.
• Strong knowledge of data quality and metadata practices.

Responsibilities

• Serve as governance owner for Tableau and ThoughtSpot, managing site/workspace administration, permissions, content certification, and publishing standards across both platforms.
• Define and enforce standards for certified data sources, semantic models, and governed data extracts to ensure a single source of truth.
• Partner with data engineering and platform teams to align governance controls with upstream data pipelines, data warehouses/lake houses, and cataloging tools.
• Establish and monitor data quality rules, validation checks, and issue-resolution workflows; track data quality KPIs.
• Manage RBAC, row-level security, and data classification across Tableau, ThoughtSpot, and connected data sources.
• Lead metadata management and data lineage initiatives, ensuring dashboards and reports are traceable back to their source systems.

Skills

Governance

Data quality

RBAC/security

Tools

Tableau

ThoughtSpot

Metadata management tools

Job description

Maven Companies in Beverly Hills, CA is seeking a Senior BI Architect with Tableau and ThoughtSpot experience to lead governance and data quality initiatives across enterprise reporting.

You will own site/workspace governance, define standards for certified data sources and semantic models, and collaborate with data engineering to align pipelines with governance controls. Strong RBAC, data classification, and metadata lineage skills are essential.