Senior Data Architect

Join the InSPIRE family! We are seeking a Senior Data Architect that manages contract-based work by developing and overseeing SOWs, tracking cost, schedule, and performance metrics, and ensuring compliance with contractual requirements. They coordinate with vendors and internal stakeholders to mitigate risk and deliver projects on time and within budget.

InSPIRE Corporation is a family-oriented company that values their employees and focuses on our customer's mission. We are a certified Service-Disabled, Veteran-Owned Small Business (SDVOSB) providing Systems Engineering and Technical Assistance (SETA) support to Intelligence Community (IC) and Department of Defense (DoD) customers. Our employees are highly experienced and possess very specialized knowledge, skills and abilities, averaging nearly 20 years of military service and 30 years of Government support per individual. Our Federal Government customers always appreciate the high-quality support we provide at competitive rates. We have supported the Department of Defense and Intelligence Community customers since 2010 by providing next generation capabilities for:

• Space Operations
• R&D Support
• Technology Insertion Management
• Government Information System Security Accreditation
• Space System Engineering, Integration, and Sustainment
• Training Development
• Government Acquisitions
• Government Contracting
• CONOPS Development
• Requirements Development and Management
• Agile Development Methodologies
• Test, Evaluation, and Assessment
• Configuration Management, Quality Control, and Assurance
• User Outreach and Advocacy
• Risk & Opportunity Management
• Program Management

InSPIRE offers an extremely competitive and generous benefits package that provides employees with both professional and personal satisfaction and growth while keeping focus on supporting the mission. Our employees enjoy a family oriented company culture that emphasizes the importance of work/life balance. Our benefits include Medical, Dental, Vision, Life, short/long-term disability and AD&D insurances, Dependent Care Flexible Savings Account (FSA) and company funded Health Reimbursement Account (HRA), plenty of PTO, generous 401k match and profit sharing, annual bonus and individual technology allowance, company funded events and Education/Training Reimbursements, and much more!

Description: We are seeking a highly skilled and experienced Data Architect to join our team. The ideal candidate will be responsible for designing, implementing, and governing a robust data infrastructure that ensures data provenance, pedigree, and governance. This role will focus on enabling seamless data access, storage, cataloging, and search capabilities across a multi-component architecture, while also playing a key role in designing a modernized data layer. The Data Architect will lead efforts to implement search federation, fully integrated workflow management systems, and structured data optimization, driving innovation and operational efficiency across the organization.

Key Responsibilities:

Data Provenance and Governance

• Define and implement strategies for data provenance and data pedigree, ensuring data integrity, traceability, and compliance with regulatory and organizational standards.
• Develop and enforce data governance frameworks, policies, and best practices to ensure data quality, security, and consistency across systems.
• Collaborate with stakeholders to establish and maintain metadata standards and comprehensive documentation for data lineage and usage.

Data Architecture Design and Implementation

• Design and implement scalable, high-performance data architecture solutions to support organizational needs, including data access, storage, cataloging, and search capabilities across a multi-component system.
• Architect and implement a modernized data layer that supports seamless data integration, transformation, and consumption for analytics and operational applications.
• Lead the development and deployment of search federation solutions to enable unified querying across disparate data sources.
• Establish and maintain systems for data cataloging and metadata management, improving the discoverability, accessibility, and usability of organizational data.

Workflow and Process Integration

• Design and oversee the implementation of fully integrated workflow management systems to automate and streamline data pipelines and processes.
• Collaborate with data engineers, developers, and business stakeholders to ensure workflows are aligned with organizational objectives and operational requirements.
• Drive the development of end-to-end workflows for data ingestion, transformation, storage, and analytics.

Structured Data Optimization

• Lead efforts to design and optimize systems for managing structured data, ensuring scalability, reliability, and efficiency.
• Develop strategies for integrating structured, semi-structured, and unstructured data, enabling a holistic view of organizational data for analytics and reporting.
• Evaluate and implement modern tools and methodologies for structured data modeling, database optimization, and query performance tuning.

Collaboration and Leadership

• Partner with data scientists, engineers, software architects, and business analysts to align data architecture with organizational goals.
• Provide technical leadership and mentorship to team members, promoting best practices in data architecture and governance.
• Stay current with emerging trends and technologies in data architecture, data management, and analytics, and integrate innovative solutions into the organization’s data strategy.

Required Qualifications

• Bachelor's or Master’s degree in Computer Science, Information Systems, Data Management, or a related field. A Ph.D. is a plus.
• Proven experience as a Data Architect, with a strong focus on designing and implementing scalable data architectures in large, complex environments.
• Extensive experience with data governance, data provenance, and data lineage frameworks and tools.
• Expertise in modern data storage technologies (e.g., cloud platforms, data lakes, data warehouses) and distributed systems.
• Strong knowledge of data cataloging tools, metadata management, and search technologies (e.g., Elasticsearch, Apache Solr).
• Hands-on experience in designing and implementing search federation solutions and workflow automation systems.
• Strong proficiency in structured data modeling, relational database systems (e.g., SQL), and modern database technologies (e.g., NoSQL, graph databases).
• Experience with APIs, microservices architecture, and distributed systems design.
• Proficiency in data engineering and programming languages such as Python, Java, or SQL, and familiarity with data processing frameworks such as

Job Type: Full-time

Pay: $165,000.00 - $195,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Referral program
• Relocation assistance
• Vision insurance

Application Question(s):

• Are you willing to take a Counter Intelligence (CI) polygraph? (Yes/No)
• What is your highest level of education from this list; PhD, Master’s degree, or Bachelor’s degree?
• How many relevant years of experience do you have in Data Architecture?

Experience:

• Data Architect: 8 years (Required)

Security clearance:

• Top Secret (Required)

Work Location: In person