REQ#: RQ211921Public Trust: None Requisition Type: Regular Your Impact

Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services that help the government ensure the well being of U.S. citizens.

Job Description

Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program.  The CMM program is an initiative to support the Administrative Office of the US Courts (AO) in developing a modern cloud-based solution to support all 204+ federal courts across the United States.

GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The BI/Data Architect will work as part of the CMM Enterprise Data Warehouse (EDW) team to deploy a secured cloud-native EDW platform and support the statutory and operational reporting, data cataloging, and other analytical objectives.

The BI/Data Architect designs and governs the enterprise BI and data architecture for the CMM EDW, enabling scalable analytics, reporting, and dashboards that integrate data from CMM systems. This role ensures data is accurate, secure, governed, and optimized for decision-making, while aligning technical solutions with business and judicial stakeholder needs.

Key Responsibilities

Design and maintain the end-to-end BI and data architecture supporting EDW analytics, reporting, and dashboards, integrating data from CMM systems.Define logical and physical data models, dimensional schemas, and data marts optimized for performance, usability, and scalability.Evaluate, recommend, and guide implementation of modern BI tools, cloud data platforms, and analytics technologies (e.g., Snowflake, AWS, BI visualization tools).Establish and enforce data governance frameworks, standards, and best practices ensuring data accuracy, consistency, classification, and security.Partner with business leaders, data engineers, analysts, and program leadership to translate business requirements into actionable technical designs and insights.Drive continuous improvement of BI platforms through performance tuning, automation, metadata management, and advanced analytics (predictive and self-service BI).Support delivery of architecture design documents, governance artifacts, data lineage, and metadata catalog processes.Deliver Architecture design documents and reference architectures (end of sprint / ad hoc)Develop and deliver workflow, requirements, and source-to-target mappings for EDW data pipelinesProvide Data governance summaries, decision logs, classification standards, and compliance processes periodically and as neededProvide metadata catalog ingestion processes, documentation, training, and job aidsPerformance Outcomes expectedScalable, governed BI architecture delivering trusted, actionable insightsReduced rework and faster analytics delivery through standardized models and clear governance

REQUIRED EXPERIENCE 

8+ years of experience in data architecture, BI architecture, or analytics platformsStrong background in enterprise data warehousing, dimensional modeling, and BI systemsExperience designing solutions in cloud-based data ecosystems (AWS + Snowflake)Proven ability to bridge business requirements and technical implementationExperience with data governance and metadata catalog platformsPrior support for federal or judiciary data environmentsCloud Architect or Data Architecture certifications (preferred)Tools & Technologies: Snowflake, AWS, BI platforms (Tableau, Power BI, SAP BO, or similar), data modeling tools, metadata catalogs, SQL

QUALIFICATIONS

MA/MS degree with 10+ years of general experience in information systems.8+ years of specialized experience.Experience may be considered in lieu of degree as follows: HS (16+ years), AA/AS (14+ years), BA/BS (12+ years), Doctorate Degree/Ph.D. (9+ years).

COMMUNICATION & ORGANIZATIONAL 

Excellent presentation and communication (oral and written) skills. Consultant mindset with the ability to work with high level customer stakeholders and build excellent customer relationship. Experience identifying and applying industry tools, solutions, methods best practices, and emerging technologies. Strong analytical skills and problem-solving skills with the ability to formulate and communicate recommendations for improvement. Demonstrated ability to work effectively, independently, and as part of a team.