Data Solutions/AI Architect

This is a part-time role averaging 20 hours per week; hours may be flexible but should be consistent each week. The position requires living within driving distance of the DC Metro area to report to HQ in Arlington, VA one day per week, which may be adjusted as needed at the supervisor's discretion. US Citizens only can be considered for this posting—no GC holders.

About the Role

We are seeking a Data Solutions Architect to join our team of qualified, diverse individuals supporting a Federal Government customer in Rosslyn, VA. The candidate must be able to obtain a Position of Public Trust Clearance—US Citizen and must not have traveled outside the US for a combined total of 6 months or more in last 5 years. Must have resided in the US for the last 5 years.

Responsibilities

• Functions as the primary technical architect for data warehousing projects to solve business intelligence challenges
• Possesses deep technical expertise in database design, ETL (OWB/ODI), reporting, and analytics
• Previous consulting experience utilizing an agile delivery methodology
• Manages QA functions
• Develops unit, system, and integration test plans and manages execution

Requirements

• Solutions architect must have expertise as both a solutions architect and AI architect
• 3+ years' experience with Azure ETL processing
• 3+ years' experience utilizing data warehousing methodologies and processes
• Strong conceptual, analytical, and decision-making skills
• Knowledge and Experience of dimensional modeling
• Strong knowledge of Azure Databricks
• Proficiency in creating PL/SQL packages
• Full SDLC and Data Modeling experience
• Ability to create both logical and physical data models
• Ability to tune databases for maximum performance
• Experience in Data Preparation: Data Profiling, Data Cleansing, and Data Auditing
• Ability to work with Business Analysts to create functional specifications and data
• Ability to write technical and end-user system documentation
• Excellent written and oral communication skills
• Experience transforming logical business requirements into appropriate schemas and models
• Ability to analyze and evaluate moderate to highly complex information systems by being able to interpret such devices as Entity Relation Diagrams, data dictionaries, record layouts, and logic flow diagrams