We offer remote work opportunities (AK, AR, AZ, CA, *CO, FL, *HI, IA, ID, IL, KS, LA, MD, MN, MO, MT, NE, NV, NM, NC, ND, OK, OR, SC, SD, TN, TX, UT, VA/DC, *WA, WI & WY only).
Our Department of Defense contract requires US citizenship and a favorably adjudicated DOD background investigation for this position.
Veterans, Reservists, Guardsmen and military family members are encouraged to apply!
Job Summary
The Director of Data Architecture leads the strategic design, development, and management of the enterprise’s data architecture to ensure data is effectively captured, managed, and leveraged across the organization. This role is critical in driving data-driven decision-making, ensuring data governance, and implementing scalable, efficient data solutions that align with organizational goals.
Education & Experience
Required:
• Bachelor’s degree in Computer Science, Information Systems or other related field or equivalent experience
• U.S. Citizen
• Must be able to receive a favorable Interim and adjudicated Department of Defense (DoD) background investigation
• 10+ years of experience in data architecture, data engineering or a related field
• 5+ years of experience managing teams and large-scale projects
• Expertise in data modeling, database design, and data warehouse architecture
• Strong knowledge of data integration tools, ETL processes, and data pipeline design
• Proficiency in cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-based data warehouse platforms like Snowflake
• Familiarity with data governance frameworks and tools (e.g., Collibra, Informatica)
• Excellent problem-solving, communication, and project management skills
• Ability to translate complex technical concepts into actionable strategies for non-technical stakeholders
• Proven experience designing and implementing enterprise-level data solutions
Preferred:
• Master’s degree in Computer Science or related field
Key Responsibilities
Strategic Leadership:
• Develop and execute the organization’s data architecture strategy to align with business objectives to design a mature analytics-based platform.
• Define and enforce data standards, policies, and governance practices to ensure data quality, master data management, security, and compliance.
• Collaborate with executive leadership to identify opportunities for leveraging data to drive business innovation and efficiency. Architectural Design & Development:
• Design and oversee the implementation of robust, scalable, and efficient data models, databases, and analytics and AI/ML pipelines.
• Define enterprise data architecture principles, including integration, security, and performance standards.
• Evaluate and recommend tools, platforms, and technologies to support data initiatives. Team Leadership:
• Lead and mentor a team of data architects, data engineers, and analysts to achieve departmental goals.
• Promote a culture of collaboration, innovation, and continuous learning within the data team.
Collaboration & Stakeholder Engagement:
• Partner with IT, analytics, data engineering, data quality & governance and business teams to understand data requirements and deliver solutions that meet organizational needs.
• Work with external vendors, consultants, and partners to implement data solutions and ensure interoperability. Data Governance & Security:
• Ensure compliance with regulatory requirements, such as GDPR, CCPA, or HIPAA, where applicable.
• Oversee the implementation of data security measures, access controls, and disaster recovery plans. Performance Monitoring:
• Establish metrics to measure the effectiveness and efficiency of data architecture and data management practices.
• Continuously monitor and optimize the performance of data systems and processes.
Competencies
Communication / People Skills: Strong interpersonal skills for effective collaboration across technical and non-technical teams.
Independent Thinking / Self-Initiative: Adaptability to keep pace with emerging trends and technologies in data architecture.
Leadership: Visionary leadership to drive innovative data strategies.
Organizational Skills: Detail-oriented with a focus on building scalable, secure, and high-performing systems.
Working Conditions
Working Conditions:
• Remote or hybrid, depending on business need
• May require occasional travel to collaborate with teams or attend industry conferences