Principal Data Architect - AI

Overview

We are seeking a highly experienced Principal Data Architect to lead the design and implementation of our next-generation cloud data platform, enabling advanced analytics and AI/ML solutions in the healthcare domain. This role will be responsible for end-to-end data architecture, including infrastructure, pipelines, and consumption layers, and will collaborate closely with product management and data science teams. The ideal candidate will have deep experience in modern data platforms, cloud services, and healthcare data, with a strong track record of delivering scalable, reusable data solutions. You will play a pivotal role in building a modern platform within Databricks, optimizing data workflows for reuse, and enabling Generative AI applications.

Responsibilities

• Lead the architecture, design, and implementation of a cloud-native data platform supporting enterprise analytics and AI/ML.
• Own the overall data architecture, ensuring scalability, security, data quality, and interoperability. Design reusable data models (e.g., claim denorm layers) to minimize duplication and maximize efficiency across use cases.
• Collaborate with product managers to define the architecture for reusable, scalable data products. Develop robust data pipelines and infrastructure leveraging Databricks, AWS, and Azure.
• Architect feature stores and governance frameworks for ML solution development.
• Partner with Data Science and AI teams to ensure platform readiness for Generative AI and Agentic AI use cases.
• Establish and enforce data governance, security, and privacy best practices in a healthcare context. Lead the migration strategy from Cloudera to Databricks, ensuring minimal disruption and technical alignment.
• Mentor and guide engineering teams, promoting cloud best practices and reusable design patterns.
• Complete all responsibilities as outlined in the annual performance review and/or goal setting.
• Complete all special projects and other duties as assigned.
• Must be able to perform duties with or without reasonable accommodation.

This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties, and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and the requirements of the job change.

Qualifications

• Bachelor's degree in computer science, Information Technology or related field, or equivalent experience.
• 10+ years in data engineering, cloud engineering, or data architecture, with increasing responsibility.
• Deep expertise with major cloud platforms (AWS, Azure, OCI) and modern data platforms (Databricks, Snowflake, Oracle).
• Experiencing architecting or developing data pipelines using Python, Spark, PySpark, and Scala.
• Solid understanding and experience architecting systems involving distributed and streaming capabilities, leveraging technologies like Kubernetes, spark streaming, kafka.
• Architecting or leading teams building data platforms on Databricks is preferred. 
• Proven experience in architecting data and AI/ML solutions within the healthcare industry.
• Hands-on experience building scalable, reusable data pipelines, data products, and feature stores. Strong knowledge of data governance, security, and regulatory compliance (HIPAA, etc.) in the healthcare context.
• Exceptional interpersonal skills, including teamwork, facilitation, and negotiation.
• Excellent written and verbal communication skills.
• Excellent planning and organizational skills.
• Strong leadership skills.
• Excellent analytical and technical skills.
• Proficient with Microsoft Office Suite (Word, Excel, PowerPoint).

Cognitive/Mental Requirements:

• Professional with the ability to properly handle confidential information.
• Ability to work well independently and in a team environment.
• Ability to handle multiple tasks, prioritize, and meet deadlines.
• Must have the ability to positively handle/manage stress, such as high work volume and frequent change.

Working Conditions and Physical Requirements:

• After hours/weekend work required where necessary for major deliverables/deadlines (not consistent).

• Must have flexibility and willingness to participate in the work processes of an international organization, including conference calls scheduled to accommodate global time zones.

• Remaining in a stationary position, often standing or sitting for prolonged periods.
• Repeating motions that may include the wrists, hands, and/or fingers.
• Must be able to provide a dedicated, secure work area.
• Must be able to provide high-speed internet access/connectivity and office setup and maintenance.
• No adverse environmental conditions are expected.

Base compensation ranges from $160,000 to $185,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. This role is eligible for discretionary bonus consideration.

Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page. 

Since this job will be based remotely, all interviews will be conducted virtually.

Date of posting: 10/13/2025

Applications are assessed on a rolling basis. We anticipate that the application window will close on 12/13/2025, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

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