Chief Enterprise Architect

Integral Federal, Inc.; Washington (District of Columbia); On-site; USD 150,000 - 180,000; Full time

Benefits offered by this job

Medical, Dental & Vision Insurance

Flexible Spending Accounts

Short-Term and Long-Term Disability Insurance

Life Insurance

Paid Time Off & Holidays

Earned Bonuses & Awards

Professional Training Reimbursement

Employee Assistance Program

Job summary

Integral Federal, Inc. is seeking a Chief Enterprise Architect in Washington, DC. This role is vital for overseeing the design, scalability, and integration of the entire data ecosystem within the Office of Naval Research (ONR). Key responsibilities include leading data governance and implementing secure cloud solutions.

The ideal candidate will have extensive experience in data modeling, ETL processes, and a solid understanding of data architecture. The company provides a comprehensive benefits package including medical insurance and paid time off.

Qualifications

• 10 years experience in computer science or IT related roles.
• Proven expertise in designing scalable enterprise systems.
• Hands-on experience with data modeling.

Responsibilities

• Lead technical authority for the data architecture.
• Ensure compliance with data governance policies.
• Develop and manage cloud-based data solutions.
• Automate workflows using Infrastructure as Code.

Skills

Data architecture design

Cloud environment expertise

Data modeling

ETL/ELT processes

Machine learning integration

Infrastructure as Code (IaC)

Secure data access mechanisms

Technical documentation

Education

MA/MS or Bachelor's Degree in Computer Science or IT

Tools

Terraform

Ansible

AWS SageMaker

Azure Machine Learning

Apache Kafka

AWS Kinesis

Job description

Overview

The Chief Enterprise Architect is the ultimate technical authority responsible for the design, scalability, and integration of the entire data ecosystem, ensuring the Office of Naval Research (ONR) Comptroller’s Office Data and Analytics (D&A) Division architecture meets all requirements.

Responsibilities

• Provide the data and technical expertise to support ONR’s data and analytics mission.
• Identify, acquire, and curate relevant commercial S&T data sets, such as S&T publications, grants, patents, startup investment activities, company details, and informal S&T literature. Directly engage with ONR’s expert analysts to answer strategic questions, automate reports, and configure dashboards to provide real‑time insight into global research trends.
• Establish a robust data quality program encompassing data profiling, cleansing, enrichment, and stewardship. Maintain metadata, data lineage, and data dictionaries using enterprise‑grade tools and develop and deploy advanced analytics, dashboards, and AI/ML models in collaboration with ONR stakeholders.
• Provide onboarding, training, and ongoing support for analytics platforms, fostering a data‑literate workforce.
• Establish and support a Data Governance Board to oversee data policies, standards, and compliance, and maintain continuous feedback loops with end‑users and leadership for iterative improvement.
• Design, deploy, and operate all data and applications within a cloud environment authorized at the FedRAMP High baseline and DoD Impact Level 5 (IL5), and maintain the system’s Authority to Operate (ATO) at all times, including configuration management, security patching, system monitoring, and help desk support.
• Design the architecture for scalability to accommodate future growth in data volume and user load.
• Implement and sustain secure data access mechanisms, including Application Programming Interfaces (APIs) and user interfaces for data exploration, as well as a secure Bulk Data Download capability for authorized users.
• Manage all access mechanisms under a formal data governance framework, including metadata management and data cataloging. Develop and deploy machine learning (ML) and artificial intelligence (AI) models, including Natural Language Processing (NLP) to analyze unstructured text and the integration of AI/ML platforms (e.g., AWS SageMaker, Azure Machine Learning).
• Automate infrastructure and workflows using Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible), build and manage CI/CD pipelines for secure software deployment, and develop streaming data pipelines (e.g., using Apache Kafka or AWS Kinesis) for real‑time data processing.

Qualifications

• MA/MS or a Bachelor’s Degree in computer science or IT related degree with 10 years experience.
• Ten (10) years of experience designing scalable, secure, and resilient enterprise‑level systems, with at least five (5) of those years focused specifically on data‑intensive solutions in a cloud environment.
• Five (5) years of hands‑on data modeling experience, including the creation of both logical and physical data models.
• Verifiable project experience serving as the lead architect for data integration and ETL/ELT processes, as well as designing both Online Analytical Processing (OLAP) and Online Transaction Processing (OLTP) systems.
• A professional‑level cloud architect certification (e.g., AWS Certified Solutions Architect – Professional, Azure Solutions Architect Expert).
• Experience serving as the lead technical authority responsible for creating and maintaining formal architecture documentation (e.g., system views, technical roadmaps) for a complex data ecosystem.
• Secret Clearance.

Benefits

• Medical, Dental & Vision Insurance
• Flexible Spending Accounts
• Short‑Term and Long‑Term Disability Insurance
• Life Insurance
• Paid Time Off & Holidays
• Earned Bonuses & Awards
• Professional Training Reimbursement
• Employee Assistance Program

Equal Opportunity Employer/Protected Veteran/Disability