DivIHN Integration Inc

Business Intelligence Solutions Architect

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Intelligence Solutions Architect on a 12-month W2 contract, with potential for a one-year extension. Requires 10-15+ years of experience in data architecture, ETL/ELT, Power BI/Tableau, SQL, and Python. Remote work with occasional office visits in Oak Ridge, TN.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
August 14, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Oak Ridge, TN
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Data Warehouse #DBA (Database Administrator) #Data Pipeline #Python #Visualization #Data Access #Tableau #BI (Business Intelligence) #Requirements Gathering #Data Modeling #Scripting #SQL (Structured Query Language) #Dynatrace #Strategy #Microsoft Power BI #Security #Observability #Datasets
Role description
β€’ β€’ β€’ W2 Contract and US Federal Government Opportunity β€’ β€’ β€’ DATA/BI Solutions Architect (Level 5/6) 12 months plus scope of 1 more year extension Remote work (rare visit to office in Oak Ridge, TN, 37831 required - all expenses paid) Summary/Key Areas: Looking for a senior, hands-on Data/BI Solutions Architect who can work with executives but also personally architect and build the solution. Must have 10-15+ years of Relevant Experience. The ideal candidate needs strong experience with data/solution architecture, data warehousing and dimensional modeling, ETL/ELT, Power BI/Tableau, SQL, Python, data pipelines, executive dashboards/KPIs, row-level security, and stakeholder requirements gathering. Dynatrace or similar observability experience is a plus. Think: Source Systems β†’ ETL/ELT β†’ Data Warehouse β†’ Data Models β†’ Power BI/Tableau β†’ Executive Dashboards They do not want a "PowerPoint architect." They want someone who can define the strategy with executives and then get hands-on with the architecture, SQL/Python, pipelines, and dashboards. Knowledge, Skillset, and Abilities (KSAs) – β€’ Enterprise Architecture & Business Acumen: Ability to translate high-level business goals and complex system metrics into actionable, executive-ready KPIs and visual strategies. β€’ Data Modeling & Pipeline Orchestration: Advanced knowledge of modeling data (e.g., star schemas, dimensional modeling) tailored specifically for Extract, Load, Transform (ELT) frameworks within modern data warehouses. β€’ BI & Data Visualization Expertise: Expert-level mastery of visualization tools (Power BI, Tableau, or equivalent) with deep knowledge of dashboard UX/UI best practices, row-level security (RLS), and performance tuning for large datasets. β€’ Hands-on Scripting & Coding Capabilities: Proficiency in SQL and scripting languages (such as Python) to develop, debug, and optimize data transformation logic within the ELT layer. β€’ Requirements Gathering & Facilitation: Proven ability to lead cross-functional discovery sessions, facilitate discussions with engineering, IT, and executive stakeholders, and reconcile technical limitations with business desires. Specific Requirements – β€’ Stakeholder Consultation & Discovery: Facilitate workshops with system engineers, database administrators, and business stakeholders to identify key system metrics, pain points, data sources, and desired dashboard business outcomes. β€’ Architecture & Design: Design the end-to-end data flow architectureβ€”from the source system metrics, through the ETL pipeline, to the data warehouse, and finally to the visualization layer (Power BI/Tableau and Enterprise level tools like Dynatrace, etc..). β€’ ETL Development & Scripting: Perform hands-on scripting, database engineering, and SQL optimization to clean, aggregate, and structure system metrics into highly performance-optimized schemas. β€’ Dashboard Development: Build, publish, and maintain interactive dashboards that track system health, operational performance, and enterprise-aligned metrics. β€’ Security & Access Control: Implement proper data access controls, authentication standards, and row-level security profiles to ensure that metrics are visible only to authorized personnel. β€’ Tool Selection Support: Lead the evaluation, trade-off analysis, and recommendation of the optimal Business Intelligence tools (e.g., comparing Power BI vs. Tableau vs tools like Dynatrace for the specific organization environment). Best Regards, Amit amustafi@divihn.com