Data Platform Engineer, Senior

Booz Allen Hamilton•Alexandria, VA

6d•$77,600 - $176,000•Onsite

About The Position

Booz Allen is seeking a senior Data Platform Engineer to develop, manage, and secure cloud-based container and data platforms. The role supports clients by building container management software and critical cloud platforms, applying current container technologies to enable seamless orchestration, and helping guide platform strategy and design while ensuring standards are met throughout the containerization process. The engineer will recommend resources to help clients manage and securely adopt containers and will work with cloud platform technology to improve client environments and support mission-focused outcomes. The position is based in Alexandria, Virginia, with an additional location in St. Louis, Missouri. Remote work is not offered. Applicants must hold an active TS/SCI clearance with polygraph and a high school diploma or GED. The projected annual compensation range is $77,600 to $176,000. Booz Allen describes benefits that include health, life, disability, financial, and retirement benefits; paid leave; professional development; tuition assistance; work-life programs; dependent care; and recognition awards. Benefits eligibility details vary by weekly hours worked.

Requirements

At least 5 years of experience designing, developing, operationalizing, and maintaining enterprise-scale data platforms and data-intensive applications.
At least 5 years of experience architecting and supporting cloud-based data platforms within AWS environments, including scalable, resilient, and secure data services.
At least 5 years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis.
Experience developing and maintaining infrastructure-as-code using automation frameworks such as Terraform or CloudFormation.
Experience building, maintaining, and supporting CI/CD pipelines and deployment processes across development, testing, staging, and production environments.
Experience developing applications in Python.
Experience deploying and operating containerized applications using orchestration platforms such as Docker, Kubernetes, Helm, or AWS EKS.
Experience serving as a technical lead, collaborating with cross-functional engineering teams, driving architecture decisions, and communicating technical solutions to stakeholders.
TS/SCI clearance with a polygraph.
High school diploma or GED.

Nice To Haves

Experience with Databricks, Apache Spark, Delta Lake, Snowflake, or other modern cloud-native data platforms.
Experience creating and improving continuous automation across infrastructure, platform, and application technology stacks.
Experience with modern DevOps toolchains, including Git, GitLab, Terraform, and automated deployment frameworks.
Knowledge of cloud-native architectures and modernization frameworks supporting enterprise platform transformation.
Bachelor's degree in computer science, information systems, engineering, data science, or a related technical field.
AWS Solutions Architect, AWS DevOps Engineer, AWS SysOps Administrator, Databricks, Kubernetes, or similar industry certification.

Responsibilities

Design, develop, operationalize, and maintain enterprise-scale data platforms and data-intensive applications.
Architect and support scalable, resilient, and secure cloud-based data platforms in AWS environments.
Develop and maintain scalable data stores that provide big data in forms needed for business analysis.
Develop and maintain infrastructure-as-code using automation frameworks such as Terraform or CloudFormation.
Build, maintain, and support CI/CD pipelines and deployment processes across development, testing, staging, and production environments.
Develop applications in Python.
Deploy and operate containerized applications using platforms such as Docker, Kubernetes, Helm, or AWS EKS.
Serve as a technical lead, collaborate with cross-functional engineering teams, drive architecture decisions, and communicate technical solutions to stakeholders.
Recommend resources to help clients manage and securely adopt containers.
Support platform strategy and design and ensure standards are met throughout the containerization process.