Data Architect/Engineer (public trust clearance)

• Role: Lead Data Engineer (Databricks & AI)
• Work Nature: 100% remote
• Client Location: Washington DC

public trust clearanc

• e
• Job Descripti
• o
• n Client is seeking a high-impact Lead Data Engineer to drive the next generation of data and AI solutions for a premier client in the transportation sector located in Washington, D.C. In this hybrid, hands-on leadership role, you will spearhead the design and deployment of enterprise-scale Databricks pipelines while mentoring a team of talented engineers. You will serve as the technical bridge between executive strategy and production-grade execution, ensuring that AI capabilities are not only innovative but also secure, scalable, and aligned with modern governance standards. If you are a seasoned engineer who thrives on solving complex architectural challenges while remaining "in the code," this is your opportunity to power the digital transformation of a national ico

• n.
• Key Responsibilit
• iesTechnical Leadership: Lead the end-to-end design, development, and deployment of enterprise-scale data and AI solutions within a Databricks environme
• nt.Mentorship: Act as a technical catalyst for the team, providing hands-on guidance in Python, Scala, or Java, and fostering a culture of engineering excellence through code reviews and skills developme
• nt.Pipeline & Model Delivery: Oversee the construction of complex data pipelines, model deployment (MLOps), and integration patterns from concept through to producti
• on.Strategic Collaboration: Partner with architects, product owners, and governance leads to ensure all data systems align with the broader enterprise strategy and security polici
• es.Optimization: Drive continuous improvements in platform efficiency, observability, and data quality to ensure high-performance delivery across multiple product tea

• ms.
• Qualificat
• ionsExperience: 6–8 years of experience in data engineering or AI systems development, showing a clear trajectory of increasing technical leaders
• hip.Technical Mastery: Advanced proficiency in SQL, Python (or Scala/Java), and the Databricks ecosys
• tem.Architectural Knowledge: Proven success in leading the delivery of complex data integrations, cloud platforms, and AI-driven initiati
• ves.Process Expertise: Strong background in Agile methodologies, MLOps, and enterprise data governance standa
• rds.Education: Bachelor’s degree in Computer Science, Information Systems, or a related technical field (equivalent professional experience consider
• ed).Soft Skills: Exceptional problem-solving abilities and the communication skills necessary to navigate stakeholders and technical challenges simultaneou

• sly.
• Job Responsibil
• itiesTechnical Leadership: Lead the end-to-end design, development, and deployment of enterprise-scale data and AI solutions within a Databricks environ
• ment.Mentorship: Act as a technical catalyst for the team, providing hands-on guidance in Python, Scala, or Java, and fostering a culture of engineering excellence through code reviews and skills develop
• ment.Pipeline & Model Delivery: Oversee the construction of complex data pipelines, model deployment (MLOps), and integration patterns from concept through to produc
• tion.Strategic Collaboration: Partner with architects, product owners, and governance leads to ensure all data systems align with the broader enterprise strategy and security poli
• cies.Optimization: Drive continuous improvements in platform efficiency, observability, and data quality to ensure high-performance delivery across multiple product t

eams.