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Data Architect, Senior

Booz Allen Hamilton
tuition assistance
United States, Maryland, Annapolis Junction
Nov 13, 2024
Job Number: R0206162

Data Architect, Senior

The Opportunity:

Effective data management enables organizations to have access to accurate, timely, and relevant data. This facilitates informed decision-making - driving growth and improving operational efficiency. The ability to properly collect, store, and organize data is key for transforming today's digital world.

With the abundance of structured and unstructured data, you understand the importance of transforming complex data sets into useful information to solve challenges. As a Senior Data Architect, you will manage and analyze data using your strong analytical skills, experience with data management tools, and solid understanding of data governance principles.

Working in a client-facing environment, you will work closely with your clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. Not only will you provide a deep understanding of their data, but you'll also advise your client on what the information means and how it can be used to make an impact.

How You'll Contribute:
As a Senior Data Architect on our team, you will:

  • Develop data models that best address the needs of multiple client requirements.

  • Create and support data documentation, including data dictionaries and data flow diagrams.

  • Collaborate with project stakeholders and data providers to understand data requirements and provide data solutions.

  • Monitor data quality and implement data validation and cleansing processes.

  • Draft data usage agreements and clean and schedule transfers of data from various sources to support business operations and decision-making.

  • Develop and support data management processes and procedures to ensure data quality and integrity.

  • Assist in the development and implementation of data governance frameworks and policies.

  • Stay up to date with industry trends and best practices in data modeling, management, and analytics.

You Have:

  • Experience in developing data models and data pipeline processes

  • Experience converting data into various formats and preserving meaning

  • Experience in relational and dimensional modeling techniques, organizing, and structuring

  • Experience in data governance principles and data security best practices

  • Experience with classified, collateral, and OSINT data sources and querying functionalities

  • Knowledge of data warehousing concepts and technologies

  • Ability to demonstrate accountability for ensuring the business and technical architecture of the delivered solution matches client technical and functional requirements and commits to client success

  • Ability to communicate technical information and recommendations to peers, engineers, and analytic consumers

  • TS/SCI clearance with a polygraph

  • HS diploma or GED and 6+ years of experience in data analysis or Bachelor's degree and 4+ years of experience in data analysis

Nice If You Have:

  • Experience with programming languages, such as Python

  • Experience with CAMEO and Niagara Files (NiFi)

  • Experience with data management platforms

  • Experience in creating organizational data strategies

  • Experience applying Agile methodologies, such as SAFe, Scrum, or Kanban

  • Knowledge of Atlassian tools, including Jira and Confluence

  • Ability to work independently and as part of a team

  • Ability to drive operational improvements through data analytics

  • Master's degree in Information Systems or a Data

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 with polygraph 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 $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.

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.

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