Data Lake Engineer, Lead
The Opportunity:

As a data lake engineer on our team, you'll use your extensive technical expertise to lead the design of data architecture solutions for DoW data-driven projects. You'll resolve routine data architecture-related issues in collaboration with business analysts and technology teams by analyzing data architecture-related mission needs and making recommendations for optimization.

In this role, you'll share your technical expertise, introduce best practices, and use tools like ETL processes. 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.

You Have:

• Experience in Databricks platform administration, including workspace configuration, Unity Catalog, cluster performance tuning, and cloud integration
• Experience in ETL data pipeline development, Delta Lake optimization, and AI/ML workflow integration
• Experience in SysEngOps, DevSecOps, version control systems, such as Git, and CI/CD pipelines for automated deployment and governance
• Experience in cloud security, role-based access control (RBAC), and compliance with DoW data policies across AWS, Azure, and GCP
• TS/SCI clearance
• Master's degree in Computer Science, Information Technology, Systems Engineering, Data Science, Business Administration, or Engineering Management and 2+ years of experience managing enterprise data architecture, Databricks administration, and cloud-based data platforms, or 11+ years of experience managing enterprise data architecture, Databricks administration, and cloud-based data platforms in lieu of a degree

Nice If You Have:

• Experience working within DoW or IC environments
• Experience with RMF or ATO processes
• AWS or Azure Cloud Certifications

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

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.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.