Data Architect, Lead

About the role

The opportunity is to transform an organization's data management capabilities, enabling more efficient operations and growth through effective data architecture and engineering.

Responsibilities

• Lead the design of data architecture solutions for integrating data pipelines from multiple Army intelligence sources.
• Resolve complex data architecture-related issues by analyzing data models and tools.
• Design, define, develop, and test cloud solution components.
• Coordinate with clients and developers to ensure requirements are met and solutions are delivered.
• Establish and enforce data governance practices, data quality frameworks, metadata management, data cataloging, lineage, and access policies.
• Use project management skills to plan and deliver schedule-bound technical engagements.
• Mentor engineers and analysts on data modeling and governance practices.

Requirements

• 8+ years of experience in data architecture, data engineering, or analytics engineering, including ownership of enterprise or program-level data models for secure DoW information management systems.
• 8+ years of experience with SQL and database, including data modeling, such as dimensional modeling, normalization, or schema design, query optimization, and working with relational databases and cloud data platforms.
• Experience with Python data frameworks for data processing, transformation, and automation.
• Experience designing and governing data architectures in AWS-based environments.
• Experience assisting with establishing and enforcing data governance practices, data quality frameworks, metadata management, data cataloging, lineage, and access policies.
• Experience with ETL and ELT processes and modern data pipeline architectures.
• Experience with project management, including planning and delivering schedule-bound technical engagements or assessments against a statement of work or charter.

Qualifications

• Bachelor's degree in a Data or IT field.
• Ability to obtain a DoD 8570 or 8140 IAT Level II Certification within 30 days of hire date.

Skills

• Extensive technical expertise in data architecture, data engineering, and analytics engineering.
• Strong understanding of data modeling, SQL, and database technologies.
• Experience with AWS data services and modern data pipeline architectures.
• Proficiency in Python data frameworks and project management methodologies.
• Excellent communication and client-facing skills.

Benefits

• Health, life, disability, financial, and retirement benefits.
• Paid leave, professional development, tuition assistance, work-life programs, and dependent care.
• Recognition awards program.

Pay

The estimated annual salary range for this position is $99,000.00 to $225,000.00 (annualized USD).

Schedule

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.

Identity Verification

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.

Candidate AI Usage Policy

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, whether it occurs in person or virtually. Employees working virtually are generally expected to have their cameras on during meetings.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.