Technical Data Architect, Senior

The Opportunity:
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 Booz Allen's internal IT Operations Data Lake.

As a data architect on our internal IT team, you’ll use your extensive technical expertise to lead the design of data architecture solutions that scale to perform in a petabyte-sized Databricks Lakehouse used by key stakeholders across the IT organization. You are someone well-versed in data modeling concepts with enough technical understanding of big data implementations to optimize the data structures and avoid design pitfalls. Within your first year, you’ll perform key roles such as designing, documenting, and overseeing delivery of data governance and access controls for existing data, working closely with our requirements team to fold stakeholder requests into a logical data model designed to scale for analyst needs, and carefully balancing performance, security, and ease-of-use considerations in designing and overseeing implementation of the semantic modeling layer of the data lake to support reporting and other advanced use cases.

You will be hands-on in Databricks working closely with data engineers, requirements, and stakeholders to deliver the logical organization of data as the Lakehouse continues to grow and take on new data sources. You will work closely with a small, dedicated team of high-skilled data professionals and will have significant influence on the design and direction of the Lakehouse platform. Due to the nature of work performed within this facility, U.S. citizenship is required.

Join us. The world can’t wait.

You Have:

• 4+ years of experience designing and implementing data models
• 3+ years of experience using Python in a data engineering or analysis context
• 3+ years of experience using SQL in an analysis context
• 3+ years of experience working with data consumers and producers to design and define data models to meet operational needs
• 2+ years of experience using the Databricks Lakehouse platform
• Knowledge of performance considerations when interacting with large datasets
• Knowledge of data modeling patterns and best practices
• Knowledge of Attribute-based Access Control principles
• HS diploma or GED

Nice If You Have:

• 2+ years of experience with Apache Spark, including pyspark or scala spark
• Knowledge of basic AWS services S3, EC2, and SQS
• Knowledge of regulated industry data protection requirements such as GDPR, CCPA, FedRamp, SOX, PCI, or HIPAA
• Possession of excellent written and verbal communications skills
• Bachelor’s degree in a Data Modeling or CS field
• Databricks Certifications
• AWS Cloud Architect Certification

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 $84,600.00 to $193,000.00 (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 application process, 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.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

EEO Commitment

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.