
Data Architect (OIG)
Join our dynamic team as a Data Architect at CASE Management Consulting!
This position requires an active TS/SCI Security Clearance with the ability to obtain a CI poly.
Washington, DC
In this role, you will design and develop a data architecture for the Office of Inspector General (OIG). This architecture will inform future data engineering, analytics, and data-driven decisions.
Your responsibilities will include:
- Assessing Current Data Architecture: Understand the existing data architecture and provide recommendations for improvement.
- Identifying Gaps: Advise the Program Manager about gaps or issues in processes, policies, and practices that may hinder the innovative deployment of data-oriented solutions.
- Recognizing Pain Points: Identify major pain points and external factors affecting various stakeholder groups.
- Facilitating Research: Conduct market research and facilitate discussion groups to develop a comprehensive understanding of the current data landscape.
- Developing a Project Plan: Create and execute a Data Architecture Services and Support project plan that outlines the following requirements: A timeline for completion, Key milestones, Decision points, Checkpoints, including dates associated with Data Architecture initiatives.
- Coordinating the Project Plan: Collaborate with the Task Order Project Coordinator (TPOC) and stakeholders to draft the project plan and schedule for approval. This coordination will clearly define the contractor's roles and responsibilities in executing the project plan.
- Communicating Milestones: Notify the Contracting Officer's Representative (COR), TPOC, and stakeholders when milestones are achieved, and coordinate meetings for reviews, demonstrations, and user testing.
- Ensuring Compliance: Work towards compliance with the established project plan and schedule, and promptly raise any compliance issues with the COR, TPOC, or stakeholders for mitigation or adjustment of expectations.
Requirements:
- Active TS/SCI Security Clearance with the ability to obtain a Counterintelligence (CI) polygraph.
- A bachelor's degree in Computer Science, Data Science, Information Technology, or a related field.
- At least 5 years of relevant work experience in data architecture, data management, or related IT roles. This experience should include hands-on involvement in large-scale data modeling, designing data platforms, and implementing data solutions.
- Expertise in relational and NoSQL databases, schema design, normalization, and entity-relationship modeling.
- Experience in architecting scalable, secure, and flexible data infrastructures that support enterprise analytics and operational needs.
- Proficient in designing and optimizing Extract-Transform-Load (ETL) processes, data pipelines, and integration across various platforms.
- Familiarity with AWS, Azure, or Google Cloud data services, including data lakes, warehouses, and streaming analytics.
- Proficiency in Python, SQL, Java, or Scala for data manipulation and pipeline development.
- Understanding of compliance requirements, data privacy regulations, and the implementation of governance frameworks.
- Ability to utilize BI tools like Tableau and Power BI for data visualization and insight generation.
- Strong skills in coordinating complex projects involving multiple stakeholders, managing timelines, and mitigating risks.
Certifications:
- Certified Data Management Professional (CDMP)
- AWS Certified Data Analytics
- Power BI Data Analyst Associate and/or Azure Data Engineer Associate; other certifications relevant to cloud platforms, big data tools, and database technologies.
Desired:
- Familiarity with DIA's OIG data architecture.
CASE Management Consulting is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, pregnancy, childbirth, lactation and related medical conditions, genetic factors, military/veteran status, or other characteristics protected by law.
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