Key skills
SQLPythonScalaJavaDatabricksData pipeline developmentAI solutions deliveryData quality managementData observabilityPerformance optimizationAgile product teamsEnterprise data governanceMetadata managementSecurity standardsMLOpsCloud data platformsAIData EngineeringPerformance OptimizationAgileLeadershipMentoringCommunicationCollaboration
About this role
Amtrak is a company that connects businesses and communities across the country, employing a diverse workforce. The Data & AI Lead Engineer is responsible for designing, implementing, and overseeing enterprise data and AI solutions that support Amtrak's digital transformation efforts, while also mentoring engineers and ensuring alignment with governance standards.
Responsibilities:
- Lead the design, development, and deployment of enterprise-scale data and AI solutions from concept through production
- Provide hands-on technical guidance in coding, pipeline development, model deployment, and integration patterns
- Plan and coordinate engineering deliverables, ensuring adherence to technical standards, governance, and security policies
- Mentor junior and mid-level engineers, fostering skill development, collaboration, and engineering excellence
- Partner with architects, product owners, and governance leads to align solutions with Amtrak’s enterprise data strategy and roadmap
Requirements:
- Bachelor's degree in Computer Science, Information Systems, or a related field; equivalent professional experience may be accepted
- 6–8 years of experience in data engineering, AI systems development, or related technical roles with increasing leadership responsibility
- Advanced proficiency in SQL, programming languages (e.g., Python, Scala, or Java), and Databricks
- Proven experience leading the delivery of complex data pipelines, integrations, or AI solutions
- Strong understanding of data quality, observability, and performance optimization
- Demonstrated ability to lead teams through technical challenges while remaining hands-on in design and coding
- Experience working within agile product teams, coordinating across multiple stakeholders
- Excellent communication, collaboration, and problem-solving abilities
- Experience in a leadership capacity within a scaled agile environment or data platform modernization initiative
- Familiarity with enterprise data governance, metadata management, and security standards
- Exposure to MLOps, cloud data platforms, and automation tools that accelerate delivery
- Prior mentorship or technical leadership of multi-functional project teams