Data Operations Technical Lead

Agile Defense•Tampa, FL

1d•Onsite

About The Position

Design, build, and maintain highly scalable, reliable, and efficient data pipelines for extracting, transforming, and loading (ETL/ELT) data from various sources into data warehouses, data lakes, and other storage systems. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure the efficient flow of data across various platforms and systems. Develop, deploy, and maintain real-time data streaming solutions to process and deliver data with low latency (using tools like Apache Kafka, Flink, or Spark Streaming). Optimize and automate data workflows, ensuring that data pipelines are efficient, reliable, and capable of handling increasing data volumes. Oversee the development of data models and schema designs to ensure accurate, accessible, and high-performance data storage for analytics and reporting. Ensure data quality, integrity, and consistency by implementing data validation, monitoring, and error-handling mechanisms. Monitor and troubleshoot performance bottlenecks in data systems, resolving issues with data processing and data access. Stay current with emerging trends and best practices in data engineering, recommending new tools, technologies, and methods to enhance existing infrastructure. Mentor and guide junior data engineers, promoting best practices in data engineering and fostering a collaborative, high-performance team environment.

Requirements

Active TS/SCI clearance
Minimum of 5 years’ experience managing digital projects in support of SOF Enterprise customers
Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field (masters degree preferred), and 5+ years of experience in data engineering or software engineering, with demonstrated experience in designing and managing complex data pipelines., or equivalent relevant work experience; e.g., each year of work experience may be substituted for each year of education required.

Nice To Haves

Three years experience managing SOF agile development processes
Three years experience managing SOF Data Operations processes and procedures
Three years experience managing SOF digital support request requirements, translating them from customer requests to assigning customer and digital support teams

Responsibilities

Design, build, and maintain highly scalable, reliable, and efficient data pipelines for extracting, transforming, and loading (ETL/ELT) data from various sources into data warehouses, data lakes, and other storage systems.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure the efficient flow of data across various platforms and systems.
Develop, deploy, and maintain real-time data streaming solutions to process and deliver data with low latency (using tools like Apache Kafka, Flink, or Spark Streaming).
Optimize and automate data workflows, ensuring that data pipelines are efficient, reliable, and capable of handling increasing data volumes.
Oversee the development of data models and schema designs to ensure accurate, accessible, and high-performance data storage for analytics and reporting.
Ensure data quality, integrity, and consistency by implementing data validation, monitoring, and error-handling mechanisms.
Monitor and troubleshoot performance bottlenecks in data systems, resolving issues with data processing and data access.
Stay current with emerging trends and best practices in data engineering, recommending new tools, technologies, and methods to enhance existing infrastructure.
Mentor and guide junior data engineers, promoting best practices in data engineering and fostering a collaborative, high-performance team environment.
Deliver the foundational data infrastructure necessary to transform SOF Enterprise data into a critical strategic asset.
Ensure comprehensive data and engineering management, data quality and resource management providing scalable systems and reliable infrastructure essential for integrating advanced analytics and effective Artificial Intelligence solutions, significantly enhancing data-driving decision-making across all warfighting functions.