Data Engineer Team Lead

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! As the Data Engineer Team Lead, you will lead a team of talented engineers responsible for building and maintaining the data lifeblood. You will provide the technical vision and hands-on leadership for the design, development, and sustainment of all data pipelines. This senior role requires you to champion innovation through governance, driving the adoption of reusable templates, automation, and modern data engineering practices to deliver resilient, scalable, and cost-efficient data solutions for the DoD. Responsibilities: Lead, mentor, and manage a team of data engineers working on new pipeline development and operations maintenance (OM). Drive the technical strategy for the data pipeline ecosystem, ensuring stability, scalability, and efficiency. Enforce the use of reusable pipeline templates, automated monitoring patterns, and Infrastructure-as-Code (IaC) deployment standards established by the architecture team. Oversee the development of new data pipelines using modern, modular patterns like Databricks Delta Live Tables. Direct the optimization of existing pipelines through the implementation of automated monitoring, alerting, and proactive schema drift detection. Facilitate code reviews, enforce documentation standards, and ensure the team adheres to agile best practices. Collaborate with the Solution Architect to identify and implement technical improvements, such as leveraging GPUs for large-scale transformations. Must have: 10+ years of experience in data engineering or software engineering Expert-level proficiency with Python, SQL, Spark, or PySpark Deep experience with cloud data platforms (e.g., AWS or Azure) and data engineering platforms like Databricks, Palantir, or Snowflake Demonstrated experience leading projects US Citizenship (No Dual Citizenship) Nice to have: Experience working in high-security DoD environments (e.g., SIPR, JWICS) Hands-on experience with Databricks Delta Live Tables, Terraform for IaC, and CI/CD pipelines Familiarity with data orchestration tools (e.g., Airflow) and data quality frameworks (e.g., Great Expectations) Experience with streaming data technologies (e.g., Kafka) and containerization (Docker, Kubernetes) Extensive experience with the development and maintenance of scalable ETL/ELT tools and services Security Clearance: Active Secret or TS or TS/SCI clearance As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland . The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorad ... (truncated, view full listing at source)