Principal Data Engineer

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We are seeking an experienced professional who will serve as the Principal Data Engineer on our Data Platforms & Insights team. The Principal Data Engineer serves as a senior technical leader within the Data Platforms & Insights team, responsible for architecting, developing, and maintaining scalable data solutions that support enterprise-wide analytics, reporting, and data management initiatives. This role drives the design and implementation of robust data pipelines, ensures data quality and governance, and enables self-service analytics through a “Data as a Service” model.

The Principal Data Engineer collaborates closely with cross‑functional teams, business stakeholders, and third-party service providers to deliver high‑impact data solutions, while also mentoring and supervising Data Engineers to uphold engineering standards and best practices.

• Design, develop, and maintain scalable and efficient data pipelines using ETL tools and programming languages
• Develop integration solutions leveraging APIs to enable seamless communication between systems.
• Analyze data elements from various systems, data flow, dependencies, relationships and assist in designing conceptual physical and logical data models
• Implement data solutions across on‑prem and cloud environments, ensuring performance, reliability, and scalability
• Ensure all data pipelines follow established data governance rules for data quality and completeness
• Maintain and evolve existing monitoring, logging, and alerting frameworks for proactively managing and troubleshooting data pipelines
• Manage source code repositories and deployment processes using modern tools
• Utilize Infrastructure as Code (IaC) tools to automate and manage infrastructure provisioning
• Work within Agile development framework to understand and transform business requirements into scalable and manageable solutions
• Work with various business and technical stakeholders and assist with data-related technical needs and issues
• Partner with leadership to define and evolve the long‑term data architecture and engineering strategy, ensuring alignment with business goals
• Present solutions and options to leadership, project teams and other stakeholders adapting style to both technical and non‑technical audiences
• Establish and enforce documentation standards for data pipelines, schemas, and infrastructure
• Ensures data engineers and other technical teams adhere to documented design and development patterns and standards
• Conduct code reviews and provide guidance to other developers, fostering growth and development within the team
• Proactively monitor and resolve on‑going production issues data pipelines, databases, and infrastructure
• Educate organization on latest trends and technologies in data engineering, APIs, and streaming data
• Lead team on establishing industry best practices in data engineering to ensure high‑quality deliverables
• Adheres to all safety policies and procedures in performing job duties and responsibilities while supporting a culture of high quality and great customer service.
• Performs other duties that may be necessary or in the best interest of the organization.

• Previous medical office experience preferred; previous ophthalmic experience strongly preferred.
• Demonstrated ability to work efficiently and effectively in a fast‑paced, matrixed environment, and ability to execute despite ambiguity
• A self‑motivated personality with a passion for working in a fast‑paced environment
• Professional in appearance and actions
• Logical and Critical thinking skills with demonstrated problem solving and ability to work with a proactive mindset
• Customer‑focused with excellent written, listening and verbal communication skills
• Enjoys learning new technologies and systems
• Detail oriented, professional attitude, reliable
• Exhibits a positive attitude and is flexible in accepting work assignments and priorities
• Meets attendance and tardiness expectations
• Management and organizational skills to support the leadership of this…