Data Architect

Join a culture of empowerment and connectivity. Develop your craft Learn the skills you need to accelerate your career. Discover benefits that your life and work. Innovate with intention Build mission-ready tech that protects the nation. 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 Homeland Security. As a data architect on our team, you’ll use your extensive technical expertise to lead the design of data architecture solutions for big data in a cloud computing environment. You’ll resolve routine data architecture- related issues in collaboration with business analysts and technology teams. In this role, you’ll share your technical expertise, introduce best practices, and use tools like Azure Data Factory to ingest large amounts of data from multiple data sources. 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. Join us. The world can’t wait. You Have: 6+ years of experience in data warehouse development, including building enterprise data warehouses, dimensional models or star schema, and data marts, and supporting large-scale reporting environments 6+ years of experience developing scalable ETL / ELT workflows and leveraging Informatica, SSIS, Azure Data Factory, WhereScape, and met adata-driven patterns 5+ years of experience developing and maintaining scalable cloud-based data platforms, including Azure Synapse, ADLS, ADF, Logic Apps, and met adata‑driven architectures Experience analyzing, integrating, and transforming data from multiple disparate systems Experience with SQL and Python used in ETL / ELT pipelines, automation, data modeling, and QA validation Experience designing and developing structured and semi‑structured data ingestion pipelines Experience performing backend SQL testing, including regression testing, unit testing, column-level validation, and post‑deployment QA Experience in data engineering, architecture, and analytics Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements Bachelor’s degree in Computer Information Systems Nice If You Have: Experience collaborating across cross-functional teams, including business analysts, data scientists, IT architects, finance, governance teams, and senior leadership Experience with Azure Synapse Analytics, Azure Data Factory, ADLS, LogicApps, and DevOps pipelines supporting CI / CD in cloud data environments Experience with public cloud environments such as Micro sof t Azure, including cloud migration, optimization, cost management, and performance tuning Experience with distributed and scalable data architecture patterns such as Data Mesh and modern met adata-driven development frameworks Experience using SDLC, Agile, and Waterfall met hodologies across multiple engineering teams Experience with PowerBI, SSRS, QlikView, and other reporting or visualization tools for downstream analytics Vetting: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client . 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. Data Architect 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 Homeland Security. As a data architect on our team, you’ll use your extensive technical expertise to lead the design of data architecture solutions for big data in a cloud computing environment. You’ll resolve routine data architecture- related issues in collaboration with business analysts and technology teams. In this role, you’ll share your technical expertise, introduce best practices, and use tools like Azure Data Factory to ingest large amounts of data from multiple data sources. 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. Join us. The world can’t wait. You Have: 6+ years of experience in data warehouse development, including building enterprise data warehouses, dimensional models or star schema, and data marts, and supporting large-scale reporting environments 6+ years of experience developing scalable ETL / ELT workflows and leveraging Informatica, SSIS, Azure Data Factory, WhereScape, and met adata-driven patterns 5+ years of experience developing and maintaining scalable cloud-based data platforms, including Azure Synapse, ADLS, ADF, Logic Apps, and met adata‑driven architectures Experience analyzing, integrating, and transforming data from multiple disparate systems Experience with SQL and Python used in ETL / ELT pipelines, automation, data modeling, and QA validation Experience designing and developing structured and semi‑structured data ingestion pipelines Experience performing backend SQL testing, including regression testing, unit testing, column-level validation, and post‑deployment QA Experience in data engineering, architecture, and analytics Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements Bachelor’s degree in Computer Information Systems Nice If You Have: Experience collaborating across cross-functional teams, including business analysts, data scientists, IT architects, finance, governance teams, and senior leadership Experience with Azure Synapse Analytics, Azure Data Factory, ADLS, LogicApps, and DevOps pipelines supporting CI / CD in cloud data environments Experience with public cloud environments such as Micro sof t Azure, including cloud migration, optimization, cost management, and performance tuning Experience with distributed and scalable data architecture patterns such as Data Mesh and modern met adata‑driven development frameworks Experience using SDLC, Agile, and Waterfall met hodologies across multiple engineering teams Experience with PowerBI, SSRS, QlikView, and other reporting or visualization tools for downstream analytics Vetting: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client . 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, 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. #J-18808-Ljbffr Booz Allen Hamilton