Lead Data Engineer

Position Description

As a Lead Data Engineer, you will lead a team of data engineers and collaborate with architects, engineers, information analysts, business, and technology stakeholders to develop and deploy enterprise-grade platforms that enable data-driven solutions. You will be responsible for updating the design parameters and implementation details of robust data pipelines, optimizing data processes, ensuring data quality, security, and governance. The role requires knowledge of GCP services including GCP Dataflow, Cloud Run Functions, Alloy

DB, Pub/Sub streams, IAC, Big Query and Data Plex. This is an event-driven architecture processing real-time and batch data.

This position can be located at any CGI office in the U.S.; preferred location is Fairfax, VA. A hybrid working model is acceptable.

• Lead the design, development, and maintenance of robust data pipelines using Dataflow and Cloud Run Functions that extract data from various sources, transform it into the desired format, and load it into the appropriate landing zone of Pub/Sub, Google Storage, or Alloy
  
  DB for Postgre
  
  SQL.
• Collaborate with FAA customers, chief architect, senior engineers, information analysts, business, and technology stakeholders to develop and deploy enterprise-grade platforms that enable data-driven solutions.
• Develop and manage ETL processes using GCP Dataflow with GCP flex templates in Java to support data transformations into XML and JSON documents, enriching them for downstream data consumers.
• Implement and manage advanced data models, including relational databases, non-relational databases, master data management, Data Plex and data governance.
• Integrate data from legacy data sources, including databases, data warehouses, APIs, and external systems using Dataflow and Cloud Run Functions.
• Ensure data consistency and integrity during the integration process, performing data validation and cleaning as needed, and manage data quality.
• Transform raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques using Dataflow, Cloud Run Functions, and other GCP services.
• Design and optimize data pipelines and data processing workflows for performance, scalability, and efficiency using Dataflow and Cloud Run Functions.
• Monitor and tune data systems, identify and resolve performance bottlenecks, implement performance gains and indexing strategies to enhance query performance.
• Implement data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data.
• Optimize and administer data environments and data-related GCP services to ensure high performance and reliability.

• Minimum of 12 years of experience in data engineering, with at least 2 years of hands‑on experience with Google Cloud based services.
• At least 8 years of work experience in data solutions design and management disciplines, including data integration, modeling, optimization, and data quality, directly relevant to data engineering responsibilities.
• Project management skills – able to understand business needs and help the team prioritize and manage workload effectively.
• Data architect experience – able to provide high level guidance and oversight, ensuring operational stability and long‑term maintainability.
• Strong knowledge of SQL, Python, and Java. Dataflow flex templates are used with Java to code data transformations.
• Experience with cloud platforms such as GCP, GKE, IAM, Terraform, CI/CD to deliver automated solutions and solve problems.
• Excellent problem‑solving skills, including debugging skills, to determine sources of issues in unfamiliar code or systems.
• Strong communication skills and a proactive “getting things done” mindset.
• Experience working in Agile teams and familiarity with Agile methodologies, SCRUM with 2‑week sprints.
• Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support mission applications, insights, and reporting.
• Experience with database technologies such as SQL, No
  
  SQL, Alloy
  
  DB Postgre
  
  SQL.
• Ability to collaborate within and across teams of different technical…