> Markdown version of [/jobs/ext/2149292-senior-database-architect](https://www.wearedevelopers.com/jobs/ext/2149292-senior-database-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Database Architect - **Company:** Leidos, Inc. - **Location:** Tampa, FL, United States - **Experience:** Expert - **Salary:** $131,300.0 - $237,350.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Cloud Database, Cloud Engineering, Cyber Security, Information Systems, Databases, Computer Engineering, Information Engineering, Data Governance, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Warehousing, Relational Databases, Database Design, Database Development, Database Security, Software Design Patterns, Disaster Recovery, Enterprise Architecture Framework, Elasticsearch, Fault Tolerance, Graph Database, Identity and Access Management, Information Management, Interoperability, PostgreSQL, Machine Learning, Metadata, Microsoft Software, Microsoft SQL Server, SQL Azure, MongoDB, MySQL, NoSQL, Oracle (Applications), Software Engineering, Enterprise Data Management, Enterprise Application Integration, Enterprise Software Applications, Real Time Systems, System Availability, Snowflake, Concurrency, Database Optimization, Database Performance, Technical Debt, HybridCloud, Indexer, Togaf, Microsoft Fabric, Amazon Relational Database Service, Data Lakes, Storage Technologies, Information Technology, Data Lineage, Cassandra, Operational Systems, Cloud Migration, DODAF, Data Pipelines, Legacy Systems, Databricks - **Published:** August 20, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18014408?backUrl=%2Fcareer%2F18014408%2FSenior-Database-Architect-Florida-Tampa ## About the Role * Minimum of 12 years of directly related experience in database architecture, database engineering, database administration, data modeling, enterprise application architecture, or related technical disciplines. * Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Engineering, Computer Engineering, Information Technology, or a related technical discipline. Additional years of directly related experience may be substituted, where permitted. * Demonstrated experience designing complex enterprise database architectures supporting mission-critical or high-availability systems. * Experience developing logical and physical data models and translating application or mission requirements into database architectures. * Experience designing database solutions across on-premises, cloud, or hybrid environments. Skills * Extensive knowledge of relational database technologies such as PostgreSQL, Microsoft SQL Server, Oracle, MySQL, or comparable enterprise platforms. * Experience with non-relational technologies such as MongoDB, Elasticsearch, Cassandra, graph databases, or comparable platforms. * Expertise in conceptual, logical, and physical data modeling, schema design, normalization and denormalization, indexing, partitioning, and database performance principles. * Strong understanding of database scalability, high availability, replication, backup and recovery, disaster recovery, and fault-tolerant architectures. * Experience designing cloud-based database solutions using Microsoft Azure, AWS, or comparable enterprise cloud platforms. * Knowledge of database security architecture, encryption, access controls, auditing, and cybersecurity principles. * Familiarity with APIs, ETL/ELT pipelines, data integration, messaging architectures, and enterprise application integration. * Understanding of data governance, metadata, data lineage, retention, lifecycle management, and information management principles. * Strong analytical, architectural, troubleshooting, and technical decision-making skills. * Excellent written and verbal communication skills with the ability to explain complex architectural concepts to technical and non-technical stakeholders. Preferred Qualifications * Master's degree in Computer Science, Information Systems, Software Engineering, Data Engineering, or a related technical discipline. * Experience supporting Department of Defense, Intelligence Community, or other national security organizations. * Experience with Azure SQL, Amazon RDS/Aurora, Databricks, Snowflake, Microsoft Fabric, Palantir Foundry, or comparable enterprise data platforms. * Experience designing databases supporting large-scale analytics, artificial intelligence/machine learning, real-time applications, or mission-critical operational systems. * Experience supporting database modernization, cloud migration, or legacy system transformation initiatives. * Familiarity with DoDAF, TOGAF, or other enterprise architecture frameworks. * Relevant Microsoft, AWS, Oracle, PostgreSQL, Snowflake, or other database/cloud architecture certifications. Security Clearance: * Active TS/SCI required * Standard day shift; schedule may be adjusted based on operational or customer requirements. ## Description * Design and maintain enterprise database architectures supporting mission applications, operational systems, analytics, reporting, and organizational data requirements. * Develop conceptual, logical, and physical database designs that ensure data integrity, scalability, performance, availability, security, and interoperability across enterprise environments. * Evaluate mission and application requirements to recommend appropriate relational, NoSQL, graph, document, distributed, or cloud-native database technologies. * Develop database architecture standards, design patterns, data models, naming conventions, and technical specifications that promote consistency and interoperability across systems. * Design database schemas, relationships, indexing strategies, partitioning approaches, storage architectures, and access patterns optimized for operational and analytical workloads. * Develop architectures supporting high availability, replication, backup and recovery, disaster recovery, fault tolerance, and continuity of operations requirements. * Design secure database architectures incorporating encryption, identity and access management, role-based access controls, auditing, data protection, and cybersecurity requirements. * Collaborate with Data Architects, Database Engineers, Data Engineers, software developers, cybersecurity personnel, system architects, and mission stakeholders to translate business and operational requirements into scalable database solutions. * Review existing database environments to identify architectural limitations, performance constraints, technical debt, security risks, and modernization opportunities. * Develop database modernization and migration strategies supporting transition from legacy systems to cloud, hybrid-cloud, or modern enterprise data platforms. * Support integration of databases with enterprise applications, APIs, data pipelines, analytical environments, data warehouses, data lakes/lake houses, and other information systems. * Evaluate database performance requirements and provide architectural recommendations addressing scalability, storage, query performance, concurrency, and system availability. * Develop technical architecture diagrams, database design documentation, data models, interface specifications, implementation guidance, and technical decision papers. * Conduct architecture and design reviews to ensure database implementations comply with established technical standards, security requirements, and enterprise architecture. * Evaluate emerging database technologies and recommend solutions that improve performance, scalability, resilience, security, and mission effectiveness. * Provide technical leadership and mentoring to Database Engineers, administrators, developers, and other technical personnel on database architecture and design best practices. ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [What’s the Difference between a Junior, Mid, and Senior Developer?](https://www.wearedevelopers.com/magazine/238-what-s-the-difference-between-a-junior-mid-and-senior-developer)