Senior Database Architect
6314 Remote/Teleworker US, United States
Full Time Senior-level / Expert USD 85K - 153K
Leidos
Leidos is an innovation company rapidly addressing the world's most vexing challenges in national security and health. Our 47,000 employees collaborate to create smarter technology solutions for customers in these critical markets.The Database Architect works to design, implement, and maintain a data pipeline and analytical environment using reporting tools, modeling metadata, and building reports and dashboards. The candidate will be responsible for performing tasks relating to Database Management System (DBMS) applications, including definition, design, structure, documentation, upgrades, long-range requirements, operational guidelines, and protection. Duties include database modeling and design, metadata, and repository creation. Additionally, the candidate will use data mapping, data mining and data transformational analysis tools to design and develop databases. Support duties may include entering and reviewing data within the database, ensuring user data integrity, maintaining database support tools, database tables and dictionaries, recovery and back-up procedures, and making recommendations regarding enhancements and/or improvements.
*Position is contingent upon contract award/funding*
Primary Responsibilities:
- Perform Database administration activities required to install and maintain database management software, design and implement predictive analysis
- Set up, manage, and monitor DB.
- Identify database bottlenecks and provide remediation steps
- Implement database backup solutions
- Design and implement security configuration including grants, roles, and profiles, perform database security monitoring and perform database auditing and implement security standards
- Design, implement, and test enterprise disaster recovery solutions and high availability database solutions including sharding, partitioning, clustering, and replication.
- Design and implement logical database schemas including ERD diagramming
- Perform database schema change management, control, and execute code deployments to upper database environments and execute database data movement to satisfy ETL, backup/recover
- Administer and maintain ETL tools including Informatica.
Basic Qualifications:
- Develop technical solutions that require collaboration with internal experts, deep analyses and understanding of impact on end-product/solution.
- Develop solutions to technical problems
- Experience with multiple database types such as SQL, Redis and MongoDB
- Experience building and integrating at the application and database level
- Experience developing REST/SOAP APIs and messaging protocols and formats
- Experience with statistical analysis, machine learning, predictive modeling, and/or optimization
- Experience prototyping front-end visualizations utilizing data visualization suites such as Kibana or Splunk
- Familiarity with event-driven finite state machines
- SQL proficiency to include schema design, data definition, and advanced queries
- Experience with MPP data warehouses
- Experience with creating automated data pipelines for complex systems
- Experience with Linux server management background
- Can prototype visualizations with lightweight data visualization suite
- Excellent verbal and written communications skills along with the ability to present technical data and approaches to both technical and non-technical audiences
- Develop technical solutions that require collaboration with internal experts, deep analyses and understanding of impact on end-product/solution.
- Develop solutions to technical problems
- Experience with multiple database types such as SQL, Redis and MongoDB
- Experience building and integrating at the application and database level
- Experience developing REST/SOAP APIs and messaging protocols and formats
- Experience with statistical analysis, machine learning, predictive modeling, and/or optimization
- Experience prototyping front-end visualizations utilizing data visualization suites such as Kibana or Splunk
- Familiarity with event-driven finite state machines
- SQL proficiency to include schema design, data definition, and advanced queries
- Experience with MPP data warehouses
- Experience with creating automated data pipelines for complex systems
- Experience with Linux server management background
- Can prototype visualizations with lightweight data visualization suite
- Excellent verbal and written communications skills along with the ability to present technical data and approaches to both technical and non-technical audiences
- Experience maintaining complex databases including MongoDB, Cassandra, and MySQL
- Automating NoSQL day-to-day operational activities (security, index maintenance, backups, disaster recovery, and installation)
- Experience in designing, deploying, and supporting multiple database platform solutions in a multi-zone clustered environment
- Experience in designing and implementing replication, partitioning, and clustering between multiple data centers
- Typically requires BS degree and 7 – 9 years of prior relevant experience or Masters with 5 - 7 years of prior relevant experience.
- Ability to be cleared by the US Government via a Minimum Background Investigation (MBI)
Desired Qualifications:
- Experience working on projects within the Federal Government, with a focus in an IRS/Treasury environment
- Working with Python, Shell, and PowerShell scripting
- Experience with CI/CD tools including Jenkins, Jira, and Gitc
- Experience working with TLS/SSL, Kerberos, and LDAP integration
- Experience with Informatica
Original Posting:
June 20, 2025For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $85,150.00 - $153,925.00The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Tags: APIs Cassandra CI/CD Clustering Data Mining Data pipelines Data visualization ETL Informatica Jenkins Jira Kibana Linux Machine Learning MongoDB MPP MySQL NoSQL Pipelines Predictive modeling Prototyping Python Security Splunk SQL Statistics
Perks/benefits: Equity / stock options
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