Big Data Architect

The Challenge:

Do you want to work at the forefront of advanced technology and solve complex data challenges? You know that data yields pivotal insights when it’s gathered from disparate sources and organized. As a data engineer, you have the chance to develop and deploy the pipelines and platforms that make this data meaningful. What’s more, you’ll have the chance to grow Booz Allen’s DataOps capabilities while working with a multi-disciplinary team of analysts, data engineers, data scientists, developers, and data consumers in a fast-paced, agile environment. We’re looking for someone like you to ensure our clients meet their mission by improving the Sailor experience in the Navy. 

This is an opportunity to support data engineering activities on some of the most mission-driven projects in the industry. Driving the data portion of an Enterprise IT Transformation, you’ll have the chance to architect data system vision, ETL pipeline strategy, and data model standards. From performing analytical exploration and examination of data to leading the assessment, design, building, and maintenance of scalable platforms, you’ll guide your clients to solve their most pressing challenges. This position is a hybrid role with a combination of working at a Booz Allen office or client site and working remotely.

Ready to drive innovation using cutting-edge data tools and techniques?  

Join us. The world can’t wait. 

You Have:

  • 5+ years of experience with data architecture, consulting or engineering

  • Experience with DoD data architecture

  • Experience working with data leveraging cloud capabilities, including AWS, Azure, or GCP

  • Experience with client-facing project work or professional consulting

  • Secret clearance

  • Bachelor's degree

Nice If You Have:

  • Experience with applying big data concepts in a data lake

  • Experience with big data tools, including Apache Spark or Hadoop, and working with structured and unstructured data

  • Experience with Databricks or Delta Lake

  • Knowledge of enterprise transformation initiatives

  • Possession of excellent client-facing or consulting skills

  • Possession of excellent verbal and written communication skills

  • Master's degree

  • Big Data Engineer or Data Architecture Certification

Clearance:

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

Build Your Career:

At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you’ll have the chance to:

  • access online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunk

  • change the world with the Data Science Bowl—the world’s premier data science for social good competition

  • participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government


You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, on-site bootcamps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success.

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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