Senior Data & BI Solutions Architect
Listed on 2026-10-16
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IT/Tech
Data Engineering, Data Analyst, Data Warehousing, Business Intelligence
Spectra Tech is seeking a Solutions Architect for Oak Ridge, TN.
* Job Description:
Knowledge, Skillset, and Abilities (KSAs) –
• Enterprise Architecture & Business Acumen:
Ability to translate high-level business goals and complex system metrics into actionable, executive-ready KPIs and visual strategies.
• 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.
• BI & Data Visualization Expertise:
Expert-level mastery of visualization tools (PowerBI, Tableau, or equivalent) with deep knowledge of dashboard UX/UI best practices, row-level security (RLS), and performance tuning for large datasets.
• 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.
• 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 –
• 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.
Architecture & Design:
Design the end-to-end data flow architecture—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..).
• ETL Development & Scripting:
Perform hands-on scripting, database engineering, and SQL optimization to clean, aggregate, and structure system metrics into highly performance-optimized schemas.
• Dashboard Development:
Build, publish, and maintain interactive dashboards that track system health, operational performance, and enterprise-aligned metrics.
• 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.
• 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).
Specific Deliverables –
• Deliverable 1:
Business Requirements & Metrics Mapping Document (BRD): A comprehensive document detailing the business goals, stakeholder feedback, defined Key Performance Indicators (KPIs), mapped system metrics, and logical data definitions.
• Deliverable 2:
End-to-End System Integration & Data Flow Architecture: A technical blueprint illustrating the data journey from source systems, through the ELT staging and transformation zones, to the final visualization analytical models.
• Deliverable 3:
Data Pipeline/ELT Scripts & Repository:
Well-documented, production-grade scripts (SQL, Python, or ETL/ELT tool pipelines) deployed to the project's code repository to orchestrate daily or real-time metric transformations.
• Deliverable 4: BI Dashboard Mockups & Wireframes:
Architectural UI/UX mockups of the proposed dashboards capturing user interactions, filter schemes, and layout prior to final development.
• Deliverable 5:
Production-Ready Dashboard Solutions:
Interactive BI dashboards published to the designated enterprise environment, successfully connected to the automated ETL backend.
• Deliverable 6:
System Hand-off, Documentation, & Training Plan:
Operational runbooks outlining the data pipeline maintenance, schema details, dashboard metric…
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