Lead Data Architect

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October 28

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LMI

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Artificial Intelligence • Healthcare Insurance • Government

LMI is a forward-thinking company that focuses on reimagining the path from insight to outcome through innovative solutions in various sectors, including applied AI and digital health. They provide advanced analytics, engineering support, and performance optimization across defense, health, and civilian markets, with a strong commitment to enhancing mission effectiveness for government clients. With a focus on collaboration and research, LMI aims to drive positive change through its diverse capabilities and partnerships.

1001 - 5000 employees

Founded 1961

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

🏛️ Government

📋 Description

• Develop and implement enterprise data architecture strategies to support ATIS modernization and COTS integration efforts. • Design and oversee data pipelines, interfaces, ETL, and data storage solutions within AWS GovCloud or other DoD-approved cloud environments. • Define and enforce data governance, metadata management, and security policies aligned with DoD 8140, RMF, and FedRAMP requirements. • Ensure data interoperability and integration across Army training systems supporting APIs to include Kafka streams, RESTful APIs, GraphQL, UDRA, Army Vantage, etc. • Support Authority to Operate (ATO) processes, ensuring data security, encryption, and compliance with DoD standards. • Optimize database performance and scalability for structured and unstructured data (e.g. SQL Server, PostgreSQL, NoSQL, Elasticsearch). • Collaborate with software engineers, DevSecOps teams, and Army stakeholders to align data strategies with mission requirements. • Develop technical documentation, best practices, and training materials to support system users and analysts. • Lead efforts in data automation, real-time analytics, and dashboard development using tools like Power BI, Tableau, and Kibana. • Leverage AI/ML, predictive analytics, and business intelligence (BI) tools to enhance decision-making and operational efficiency.

🎯 Requirements

• Active Secret security clearance. • Bachelor’s degree in Computer Science, Engineering, or a related field. • 5+ years of experience in data architecture, enterprise data management, or cloud-based analytics. • Active DoDI 8140 certification (e.g., CISSP, CISM, Security+). • Expertise in AWS data services (S3, Redshift, RDS, DynamoDB, Glue, Athena, etc.). • Strong experience with ETL, data integration, and API-driven data exchange. • Knowledge of data security frameworks, including FIPS 140-2 encryption, Zero Trust, and role-based access control (RBAC). • Proficiency in SQL, Python, or AWS native services for data transformation and automation. • Familiarity with DoD data standards (DoDAF, etc.). • Experience with containerized data solutions using Kubernetes, Docker, and serverless computing.

🏖️ Benefits

• High Fringe/Full-Time