Data Engineering Lead

Jobright.ai is an AI-powered career platform that helps you discover verified jobs directly from employer sites across the U.S. and tailor your applications with ease. Please note: Jobright is not a staffing agency and does not hire for these roles directly.Job Summary:Accenture Federal Services is dedicated to helping the US federal government enhance its operations and service delivery. They are seeking a Data Engineering Lead to design, develop, and optimize data pipelines and infrastructure while leading a team of data engineers to ensure data quality and governance, particularly in healthcare and supply chain logistics.Responsibilities:• Lead, mentor, and guide a team of data engineers in best practices for data pipeline development, data modeling, and infrastructure management. Provide technical oversight and ensure adherence to architectural standards.• Drive the design and implementation of highly scalable, reliable, and efficient data architectures, including data lakes, data warehouses, and streaming platforms. Define technical roadmaps and strategies for data engineering initiatives.• Design, develop, and maintain complex ETL/ELT processes and data pipelines using modern data engineering tools and frameworks (e.g., Apache Spark, Kafka, Airflow). Ensure data ingestion, transformation, and loading processes are optimized for performance and reliability.• Establish and enforce data governance policies, data quality standards, and data security protocols. Implement robust monitoring and alerting for data pipelines and data quality issues.• Leverage expertise in cloud-based data platforms (e.g., AWS, Azure, GCP) to design and implement cloud-native data solutions, optimizing for cost, performance, and scalability.• Collaborate closely with product owners, data scientists, data analysts, and other engineering teams to translate business requirements into technical specifications and deliver data solutions that align with strategic objectives. Act as a primary interface with customers, business stakeholders, and cross-functional teams to gather requirements, provide updates, and ensure alignment on data initiatives.• Identify and resolve complex data-related performance bottlenecks and architectural challenges. Implement strategies for query optimization and data storage efficiency.• Actively participate in agile ceremonies, including sprint planning, backlog refinement, daily stand-ups, and sprint reviews, contributing to a culture of continuous delivery and improvement. Lead and own the full Software Development Life Cycle (SDLC) for data solutions, from conceptualization and design through deployment, testing, and operational support.• Create and maintain comprehensive technical documentation, including data flow diagrams, architectural designs, data dictionaries, and operational runbooks.Qualifications:Required:• Experience with SQL, data modeling, and building ETL pipelines.• Knowledge of data management fundamentals and data storage principles.• Experience in coding and automating processes.• Cloud Data Services experience through certification, education, or hands-on experience.• Demonstrated experience with CI/CD practices for data pipelines and infrastructure as code (IaC).Preferred:• Bachelor's degree in Computer Science, Data Engineering, or a related field.• Experience in the healthcare or supply chain logistics industry, particularly with large-scale enterprise data.• Familiarity with data visualization tools (e.g., Tableau, PowerBI) and their integration with data platforms.• Experience with data orchestration tools (e.g., Apache Airflow, Prefect).• Knowledge of machine learning operationalization (MLOps) and data science integration.• Familiarity and experience with AI/ML (LLMs, Chatbot development) and the use of Databricks, Delta Lake, and Palantir Foundry.• Currently working with the Veterans Administration (VA) or other federal agencies.• Active Public Trust clearance.Company:Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, Virginia, USA, with a team of 10001+ employees. The company is currently Late Stage.