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

Job Description

**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

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

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

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