Responsibilities

• Serve as a primary technical point of contact for a medium to large data program.
• Oversee the implementation of transformational cloud enhancements, in collaboration with multi-contractor teams.
• Research and experiment with new technologies and implement them to help improve systems and processes.
• Supervise the maintenance of existing infrastructure for production servers, data analysis pipelines, and analytics tool sets.
• Implement production and testing infrastructure using infrastructure as code.
• Evaluate existing CI/CD pipelines and improve their scalability, stability, security, and efficiency.
• Help improve builds and deployments to move away from custom tools towards industry standard tooling and technologies.
• Continuously monitor all aspects of technical contract activities and recommend adjustments when necessary.
• Architect overall systems using prototyping and proof of concepts.
• Collect requirements to create and maintain optimal data pipeline architectures.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Supervise the building of infrastructure required for optimal ELT of data from a wide variety of data sources using SQL and ‘big data’ technologies.
• Communicate with a wide range of digital delivery disciplines and talent.
• Work with data and analytics experts to strive for greater functionality in data systems.

Qualifications

• Ability to undergo a background investigation by the U.S. Government and meet eligibility requirements for suitability.
• Experience working for an organization related to supporting international development and humanitarian assistance programs.
• Experience leading cross-functional teams in a dynamic environment, fostering mutual understanding, and presenting findings to a variety of audiences.
• Knowledge of automated configuration management, continuous integration/deployment, and continuous monitoring solutions.
• Ability to evaluate complex data and computer systems to find inefficiencies, analyze, weaknesses, or security threats.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Proficient at working with a team to build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Experience with AWS including EMR, EC2, RDS, ELB, and Lambda.
• Experience with infrastructure as code technologies such as Cloud Formation or Terraform.
• Experience with CI/CD automation technologies such as Github Actions, Jenkins, GitLab, AWS CodeBuild or similar.
• Demonstrated ability to troubleshoot and resolve build and deployment failures in CI/CD pipelines.
• Experience with scripting languages such as Bash, Python/Boto3, Groovy or similar.
• Proven communication skills and strong situational awareness of large programs.
• We are looking for a candidate with a graduate degree in a technology field and 10+ years of experience in a combination of Data Engineer, Cloud Engineer, or Cybersecurity Engineer roles, or a commensurate combination of education and experience.

Nice to haves

• Project management professional (PMP) certification or similar.
• Experience managing projects with a global reach.