Data Engineer Lead

Job description

Job Family: Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse is seeking a Data Engineer Lead to lead the design, development, and modernization of enterprise data platforms, analytics ecosystems, and cloud-native data solutions. This role serves as the technical leader for data engineering initiatives, providing architecture guidance, mentoring engineering teams, and driving the implementation of scalable, secure, and high-performing data solutions that support mission-critical business and analytical needs. • Lead the design, development, and deployment of modern data platforms, pipelines, and analytics solutions across cloud and hybrid environments. • Define technical architecture, engineering standards, and best practices for data integration, storage, processing, and governance. • Architect and oversee the implementation of scalable ETL/ELT workflows, data lakehouses, and enterprise data platforms. • Lead data modernization and migration initiatives, including cloud adoption, platform transformation, and legacy system replacement efforts. • Provide technical leadership and mentorship to data engineers, fostering engineering excellence and professional development. • Collaborate with solution architects, data scientists, business analysts, and client stakeholders to define technical strategies and implementation roadmaps. • Design and optimize data models, data warehouses, and large-scale analytical environments to support reporting, operational analytics, and advanced analytics use cases. • Establish and enforce data quality, observability, security, reliability, and operational support processes. • Lead the adoption of DevSecOps and CI/CD practices to automate deployments and improve platform reliability. • Oversee performance tuning, troubleshooting, and optimization of data platforms and processing workloads. • Conduct technical reviews, architecture assessments, and code reviews to ensure delivery quality and adherence to best practices. • Support proposal development, solutioning, technical estimations, and business development activities. • Serve as a trusted technical advisor to project leadership and client stakeholders. • Role is contingent upon contract award What You Will Need: • U.S. Citizenship or Green Card is required and Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST. • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or a related technical field. • SEVEN (7) or more years of experience in data engineering, software engineering, analytics engineering, or related technical disciplines. • Experience leading technical teams and complex data engineering initiatives. • Experience with Python, SQL, Spark/PySpark, and modern data engineering frameworks. • Experience designing, developing, and optimizing large-scale data pipelines and ETL/ELT solutions. • Experience architecting enterprise data platforms, data lakes, data warehouses, and cloud-native data solutions. • Significant hands-on experience with AWS, Azure, or multi-cloud environments. • Experience with Databricks, Snowflake, or similar distributed data processing platforms. • Experience implementing and managing CI/CD pipelines, infrastructure automation, and DevOps practices. • Experience with containerization and orchestration technologies, including Docker and Kubernetes. What Would Be Nice To Have: • Experience supporting federal health, public health, healthcare, life sciences, or other highly regulated environments. • Strong understanding of data governance, metadata management, data quality, and data security principles. • Experience leading Agile development teams and collaborating across cross-functional technical organizations. • Strong analytical, problem-solving, and architectural decision-making skills. • Demonstrated ability to communicate technical concepts to both technical and non-technical audiences. • Experience developing technical documentation, architecture artifacts, and engineering standards. • Experience designing and implementing Databricks Lakehouse, Delta Lake, Fabric, Snowflake, or similar modern analytics architectures. • Experience with event-driven and real-time data architectures using Kafka, Event Hub, Kinesis, or similar technologies. • Experience implementing Infrastructure as Code using Terraform, CloudFormation, Bicep, or ARM templates. • Experience with data observability and monitoring platforms such as Splunk, Datadog, CloudWatch, Kibana, or Elasticsearch. • Experience supporting AI/ML platforms and operationalizing machine learning workflows. • AWS, Azure, Databricks, Snowflake, or Kubernetes certifications. • Experience leading large-scale data modernization or digital transformation programs. • Previous consulting experience with responsibility for client-facing technical leadership. • Experience contributing to business development activities, technical proposals, and solution architecture. The annual salary range for this position is $92,000.00-$153,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: • Medical, Rx, Dental & Vision Insurance • Personal and Family Sick Time & Company Paid Holidays • Parental Leave • 401(k) Retirement Plan • Group Term Life and Travel Assistance • Voluntary Life and AD&D Insurance • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts • Transit and Parking Commuter Benefits • Short-Term & Long-Term Disability • Tuition Reimbursement, Personal Development, Ce