Mission System Data Architect
Role details
Job location
Tech stack
Job description
For an organization to transform in today's digital world, it needs to properly collect, store, and organize its data. Effective data management can enable more efficient operations, yielding more growth. As a data architect, you know how to apply your creative-thinking and analytical mindset to help organizations manage their data assets. We're looking for a data architecture lead like you to solve complex challenges and deliver leading-edge solutions for national security.
As a data architect on our national security team, you'll use your extensive technical expertise to lead the design of data architecture solutions for large-scale data solutions such as ingest, analytics, enrichment, and security. You'll resolve routine data architecture- related issues in collaboration with business analysts and technology teams by optimizing data ingest pipelines, working with the project teams to identify optimal storage, including size and cost tradeoffs, and structure, including search, discovery, and analytics, and making recommendations on data architecture enhancements.
In this role, you'll share your technical expertise, introduce best practices, and use tools like Structured Query Language ( SQL ) and near real-time data streaming to design data models and standards, ETL pipelines, met rics collection and reporting, and how to leverage AI to extract more insights from data. You'll lead your team as it designs, defines, develops, and tests cloud solution components, and you'll serve as a liaison between clients and developers to ensure that requirements are met and solutions are delivered.
With your motivation to establish processes and facilitate technological innovation, you'll make a lasting impact on national security.
Requirements
- Experience with data modeling and design, including conceptual, logical, and physical models
- Experience with ETL / ELT pipelines using multiple languages and frameworks such as Python, Java, and Apache NiFi
- Experience with relational and non-relational databases such as Oracle, MongoDB, PostgreSQL, Redis, and Neo4J
- Knowledge of SQL
- TS/SCI clearance with a polygraph
- Bachelor's degree in CS or Information Science
Nice If You Have:
- Experience with multiple clouds such as Amazon and Oracle
- Experience designing, implementing, and sustaining ETL pipelines using Apache NiFi
- AWS Certified Data Engineer and Oracle Certified Professional Certification s
Benefits & conditions
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.