Description

• 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 → ETL/ELT → Data Warehouse → Data Models → Power BI/Tableau → 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) –

• 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 (Power BI, 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 logic, and a brief walkthrough session/recording for internal administrators

Key Skills

Education

Bachelor's degree