Technical Lead

Booz Allen Hamilton•McLean, VA

1d•Remote

About The Position

The Opportunity: We are seeking a Technical Lead to support initiatives that modernize the Department of Veterans Affairs’ VADIR platform. In this role, you will leverage modern data engineering practices, cloud-native tools, and automation to address complex data challenges. Your technical expertise will guide architecture decisions, build resilient and scalable pipelines, and ensure data assets are well-governed, discoverable, and ready for analytics and application use across the VA. You will evaluate and recommend tools and solutions informed by current environments, industry standards, and modern DevSecOps and DataOps practices. Collaborating with software engineers, product teams, architects, and stakeholders, you will develop and maintain secure, automated, and highly available data services. Technologies used may include AWS cloud services, orchestration platforms, SQL and NoSQL databases, event streaming tools, and CI/CD pipelines to deliver robust, mission-aligned solutions. If you are passionate about automation, repeatable processes, data reliability, and cloud-scale engineering, this is an opportunity to make a meaningful impact in a modernized VA environment. Work with us to transform the future of digital platforms. Join us. The world can’t wait.

Requirements

8+ years of experience serving as a Technical Lead on Information Technology (IT) projects
Experience in data engineering or DataOps, including designing and implementing scalable data pipelines
Experience with SDLC processes, Agile methodologies, version control, and release management
Experience building, deploying, and maintaining ETL or ELT pipelines in cloud or hybrid environments
Experience in PL/SQL and at least one programming or scripting language such as Python, Java, or Bash
Experience with relational databases, data lakes, or NoSQL storage solutions
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor’s degree

Nice To Haves

Experience with AWS services such as S3, Glue, Lambda, RDS, Redshift, EMR, Kinesis, or Step Functions
Experience with workflow orchestration tools such as Airflow, Dagster, Prefect, or AWS Managed Workflows
Experience with Infrastructure-as-Code tools such as Terraform or CloudFormation
Experience with containerized environments, including Docker or Kubernetes
Experience supporting DataOps capabilities, including observability, lineage, metadata management, and pipeline monitoring
Knowledge of data validation, quality checks, and automation for data workflows
Ability to assess existing data systems and design integration points, ingestion patterns, and pipeline improvements

Responsibilities

Guide architecture decisions.
Build resilient and scalable pipelines.
Ensure data assets are well-governed, discoverable, and ready for analytics and application use across the VA.
Evaluate and recommend tools and solutions informed by current environments, industry standards, and modern DevSecOps and DataOps practices.
Develop and maintain secure, automated, and highly available data services.
Support DataOps capabilities, including observability, lineage, metadata management, and pipeline monitoring.
Assess existing data systems and design integration points, ingestion patterns, and pipeline improvements.