Staff Data Engineer

This role offers the opportunity to shape modern, enterprise-grade data platforms supporting production AI and business-critical systems. You will define data architecture and platform strategy while owning complex technical decisions across pipelines, warehouses, lakes, governance, and real-time processing. The position combines hands-on engineering with technical leadership, mentorship, and close collaboration across engineering, AI, analytics, product, and leadership teams. You will work on challenging projects where scalability, security, reliability, and performance are essential. An AI-forward approach is central to the role, with modern coding assistants used to accelerate high-quality engineering work. This is an opportunity to influence data engineering standards while delivering solutions with measurable impact for enterprise clients.

• 7+ years of professional data engineering experience, including experience leading complex data platform initiatives.
• Strong systems architecture background with deep expertise in distributed data systems.
• Expert proficiency in Python, Scala, and SQL.
• Extensive experience with cloud-native data platforms and enterprise data warehousing.
• Strong expertise in data pipeline orchestration, processing, data transformation, and data modeling.
• Hands-on experience with streaming platforms and real-time processing technologies such as Kafka, Kinesis, or Pub/Sub.
• Strong experience implementing data quality, governance, and compliance frameworks.
• Experience with container orchestration and CI/CD for data systems.
• Demonstrated experience building production data pipelines for AI/ML systems, including embeddings, vector stores, RAG preparation, feature stores, and training/inference workflows.
• Proven technical leadership and mentoring experience across an engineering team or organization.
• Strong stakeholder communication skills, with the ability to translate complex technical concepts for both technical and non-technical audiences.
• Demonstrable day-to-day expertise with AI-forward coding tools such as Claude and Cursor, including an understanding of their practical strengths and limitations.
• Excellent problem-solving skills and the ability to navigate ambiguous technical and business challenges with sound judgment.
• Experience with data mesh or data fabric concepts, lakehouse architectures, or governance framework implementation is a plus.
• Healthcare data experience is a plus.
• AWS certifications, particularly AWS Certified Data Engineer – Associate, are strongly preferred.
• Strong ownership, adaptability, direct communication, attention to detail, and a willingness to work effectively within experienced, multidisciplinary teams.
• Ability and willingness to travel, including approximately 20% U.S.-based travel, as required by the role.
• Must be legally authorized to work in Canada; employment-based visa sponsorship requirements may apply.
• Willingness to travel for a final interview and onboarding if required.