Leidos · 6 hours ago
Database Architect
Leidos is looking for a Database Architect to provide leadership on a mission-critical program supporting the Passenger Systems Program Directorate in Customs and Border Protection. The Database Architect will be responsible for the architectural design and development of various portfolio databases, working closely with the Chief Engineer and Chief Architect to assist in system engineering documentation and database solutions.
ComputerGovernmentInformation ServicesInformation TechnologyNational SecuritySoftware
Responsibilities
The Database Architect is responsible for the architectural design and development of various portfolio databases for multiple applications
Defines system solutions based on user/client needs, cost, and required integration with existing applications, systems, or platforms
Works with Architecture team and assists in development of policies for standardizing systems, development tools and security practices
Coordinates with application architects to valuate and recommend new technologies, infrastructure options, and methodologies to enhance DB systems and to foster innovation
Design, model, document, and guide the logical and conceptual relationship of data and database changes for complex applications
Identifies requirements, researches options, designs and implements solutions at a leadership level for the program application teams
Performs technical planning, system integration, verification and validation, cost and risk assessments
Must be a self-starter, strong leader, and have the ability to work independently with little supervision
Qualification
Required
BS/BA degree with a minimum of 12+ years of relevant experience or 10+ years of relevant experience with Masters Degree; OR 4 years of directly related experience in lieu of degree
8+ Years of experience in database design and modeling with a strong understanding of data modeling principles (relational, dimensional, NoSQL) and ability to design efficient, scalable, and secure database architectures
5 - 7 years' experience of proficient administration, maintenance, and optimization of a variety of DBMS, including PostgreSQL, Oracle, and various NoSQL databases (e.g., MongoDB, Cassandra)
Designing and implementing data warehouses, data lakes, and robust ETL/ELT pipelines using tools like dbt and Airflow
Implementing data governance frameworks, including Master Data Management (MDM) to create a single source of truth and ensuring data quality, consistency, and security
Data Security and Compliance: Implementing robust security measures, audit, access controls, and adherence to compliance regulations
Performance Tuning and Optimization: Identifying and resolving performance bottlenecks in database systems, including utilizing techniques like partitioning and indexing in systems like Delta Lake on Databricks
Cloud Platform Expertise: Experience designing and implementing data solutions on at least one major cloud platform (AWS, Azure, or GCP)
ETL: Designs and implements the data extraction, data load, and database synchronization routines and functions
Resiliency: Designs and implements viable database backup, recovery, and high availability strategies and mechanisms
Observability: Monitors and optimizes database instance using database administration tools, SQL scripts, and database utilities
US Citizen
Must be able to maintain and obtain a CBP Background Investigation prior to start
Preferred
Conversion: Experience in decoupling logic from DB's, and/or decomposition of PL/SQL or PG/SQL stored procedures and triggers into requirements for code
Databricks and Delta Lake: Architecting and implementing data solutions on Databricks, leveraging the features of Delta Lake for data lakes and ensuring data reliability and quality
NoSQL Databases: Experience with various NoSQL database types (document, key-value, graph, etc.) and understanding their use cases (e.g., MongoDB for flexible schema and Cassandra for high write throughput)
OpenMetadata: Familiarity with OpenMetadata for data cataloging, discovery, lineage, and data governance
Programming Languages: Proficiency in programming languages commonly used in data architecture, such as Python, Scala, Java, or SQL
Big Data Technologies: Experience with big data frameworks like Apache Spark, Hadoop, and Kafka
At least one nationally recognized database vendor certification
Active CBP BI
CBP experience
Company
Leidos
Leidos is a Fortune 500® innovation company rapidly addressing the world’s most vexing challenges in national security and health.
Funding
Current Stage
Public CompanyTotal Funding
unknown2025-02-20Post Ipo Debt
2013-09-17IPO
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