Data Architect

Data Architect

The Opportunity:  

As organizations increasingly rely on cloud computing and advanced analytics, the ability to design well-structured, scalable, and well-governed data systems is more important than ever. We are looking for a Junior Data Architect to help shape and support the data foundation that powers analytics, reporting, and operational insights across our organization.

As a Junior Data Architect, you’ll work alongside engineers, analysts, and business stakeholders to design and maintain data structures that make complex data accessible, reliable, and meaningful. Working within AWS-based environments, you’ll help model data, support pipeline development, and contribute to building scalable data architectures that support both operational and analytical workloads.

Here, you’ll work with a multi-disciplinary team in a fast-paced and agile environment. You’ll help translate business requirements into well-structured data models and architecture patterns while collaborating closely with data engineers and platform teams to ensure systems are scalable, performant, and reliable. You’ll also help support data governance practices, including improving data quality, documentation, and standards that promote responsible and consistent use of organizational data.

How You’ll Contribute

As a Junior Data Architect on our team, you will:

• Design and maintain logical and physical data models that support analytics and reporting use cases.

• Write and optimize SQL queries to transform and structure data for downstream systems and reporting.

• Collaborate with engineering teams to support the design and implementation of data pipelines and data integration workflows within AWS environments.

• Translate business and analytical requirements into scalable data structures and architecture patterns.

• Help design and maintain data schemas, metadata standards, and documentation to improve data discoverability and usability.

• Support development and optimization of ETL and ELT workflows that transform raw data into curated analytical datasets.

• Assist in maintaining the reliability, performance, and scalability of data storage and processing systems.

• Work with cross-functional stakeholders including product, analytics, and engineering teams to understand and address data needs.

• Support data governance initiatives, including improving data quality, lineage visibility, and consistency across datasets.

• Help enforce data standards and best practices to ensure data integrity, appropriate access, and responsible data usage across the organization.

You Have:

• 2+ years of experience working with data systems, data engineering, analytics engineering, or data architecture

• Experience writing and optimizing SQL queries for data transformation and analysis

• Experience with data modeling concepts including dimensional modeling, star schemas, normalization, and schema design

• Experience working with relational databases or cloud data platforms such as AWS

• Experience using Python for data processing, automation, or scripting

• Knowledge of ETL and ELT processes and modern data pipeline architectures

• Knowledge of data governance concepts, including data quality, metadata management, and data documentation

• Ability to communicate technical concepts and collaborate with cross-functional stakeholders

• Ability to obtain a Secret clearance

• Bachelor's degree

Nice If You Have:

• Experience with AWS data services such as S3, Glue, Redshift, or Athena

• Experience supporting data warehouse or lakehouse architectures

• Experience with data orchestration or transformation tools such as Airflow or dbt

• Experience with data governance tools such as data catalogs, lineage tools, or metadata management platforms

• Experience working with large-scale analytical datasets

• Secret clearance

• CDMP certification

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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 $61,900.00 to $141,000.00 (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, whether it occurs in person or virtually. 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 facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

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.