Manage engineers engaged in design, development, test, and maintenance of on-premises and cloud solutions focused on data capture, transformation, validation, and distribution/reporting/publishing
Collaborate with teams to transform data and integrate models into automated processes
Work with stakeholders including program, product, data, and design teams to assist with data-related technical issues and support data infrastructure needs
Manage team’s production O&M support, scheduled, on-call 24x7 support
Engage program staff and other OBIM contractors on support needs
Communicate project and work status to senior program leadership and customer
Proactively identify and propose solutions to improve existing system architectures
Schedule staff to obtain proper response in a timely manner.
Enjoy working in a learning environment, with a small team that must be enabled to mitigate skill and knowledge gaps between team operations and/or responsibilities, on a periodic basis.

Education: BA/BS or equivalent
Experience: 5+ years of experience
Technical skills: experience managing the development and/or maintenance of all life cycle phases in Data Warehousing project(s)
Experience performing or managing O&M of on-premise or cloud-hosted, federal IT enterprise systems
Database experience (Oracle and DB2 on-premise)
Experience with AWS GovCloud data storage/management service(s) (Redshift, EC2, RDS, Aurora, S3, Quick Sight, VPC)
Experience administering or managing data migration and transformation tools (ETL/ELT tools on-premise, Informatica, Glue, DMS)
Experience administering or managing Data Manipulation tools (SQL, Athena)
Security clearance level: Public Trust (DHS HQ EOD required to start; must be able to obtain DHS HQ Final Suitability)
US citizenship required
Role requirements: adept at problem-solving, troubleshooting, collaboration, time management, multi-tasking, and task-ownership/leadership; excellent oral and written communication skills, organization and documentation skills, and requirements analysis skills.

Data Engineering Manager

Key skills