Data Platform Engineer, Senior

Booz Allen Hamilton•Saint Louis, VA

10d

About The Position

As a Senior Data Platform Engineer at Booz Allen, you will develop, manage, and secure container platforms that meet client needs and take advantage of cloud capabilities. You will develop container management software and support the development of critical cloud platforms, using current container software to improve client environments and ensure seamless orchestration. You will contribute to strategy and design, ensure standards are met throughout the containerization process, and recommend resources that help clients manage and securely adopt containers.

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 in 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 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 Docker, Kubernetes, Helm, AWS EKS, or similar orchestration platforms.
Experience serving as a technical lead and 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 working 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.
Inform platform strategy and design, ensure standards are met during containerization, and recommend resources for secure container adoption.