Senior BI Architect – Self-Service Analytics, Databricks & AWS

**FULLY REMOTE**

ScolerTec is seeking multiple Senior BI Architects to support a large-scale cloud data modernization and analytics initiative.

This role will define the architecture and technical direction for an enterprise self-service analytics environment built on Databricks and AWS , with a strong focus on evaluating and integrating modern BI platforms for both technical and nontechnical users.

The ideal candidate will have strong hands-on experience with Tableau, Qlik, ThoughtSpot, and/or Amazon QuickSight , along with Databricks, AWS, semantic modeling, governed analytics, security, and enterprise BI architecture.

Key Responsibilities

• Define enterprise BI and self-service analytics architecture using Databricks and AWS .
• Evaluate and integrate BI platforms including Tableau, Qlik, ThoughtSpot, and Amazon QuickSight .
• Design analytics solutions for both technical analysts and nontechnical business users.
• Integrate BI tools with Databricks lakehouse, SQL Warehouses, curated/Gold data layers, and AWS data services .
• Define semantic models, KPIs, metrics, governed datasets, and reusable business definitions.
• Design self-service analytics approaches that reduce dependency on BI developers.
• Define security and governance patterns including RBAC, row-level security, lineage, and certified datasets.
• Establish BI architecture standards, design patterns, performance standards, and deployment practices.
• Partner with Databricks platform, data engineering, governance, AWS, and business teams.

Qualifications

• 8+ years of enterprise BI / analytics experience.
• 5+ years in BI architecture, analytics architecture, or senior BI technical leadership.
• Strong hands-on experience with at least two of:
• Tableau, Qlik, ThoughtSpot, Amazon QuickSight .
• Strong hands-on experience with Databricks and lakehouse-based analytics.
• Strong experience with AWS and cloud-based analytics/data services.
• Experience integrating BI platforms with Databricks and AWS data environments.
• Experience designing enterprise self-service analytics solutions for nontechnical users.
• Strong semantic modeling, dimensional modeling, SQL, KPI, and data-governance experience.
• Experience with security, RBAC, row-level security, lineage, and governed data access.

Preferred Qualifications

• Experience with three or more of Tableau, Qlik, ThoughtSpot, and QuickSight.
• Databricks experience with Delta Lake, Unity Catalog, SQL Warehouses, Medallion architecture, and governed Gold-layer datasets .
• AWS experience with services such as S3, Redshift, Athena, IAM, Glue, Lake Formation, or related analytics services .
• AWS GovCloud experience.
• Experience in federal, regulated, or large enterprise environments.
• Experience with BI platform administration, performance optimization, governance, and enterprise adoption.