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Principal Data Platform Engineer (Databricks)

Prominence Advisors · Remote, United States, US · 27 days ago

Prominence Advisors is actively seeking a Principal Data Platform Engineer(Databricks) to join our team.

Who We Are

Prominence is a healthcare and life sciences technology and consulting firm dedicated to helping leading organizations do more with their data. With deep expertise across the full ecosystem — spanning providers, payers, and life sciences — we turn complex data into actionable insight.

We deliver a full spectrum of services, including advisory, analytics, optimization, and IT staffing. Our work helps organizations operate more efficiently, improve patient outcomes, and deliver measurable financial impact through smarter use of data. Recognized as a 2x Best in KLAS organization, we partner with more than 120 health systems and 40 life sciences organizations, including 7 of the top 10 U.S. News & World Report-ranked institutions.

Through our life sciences brands, Tegra Analytics and WLH Consulting & Learning Solutions, we extend these capabilities to pharmaceutical and biotech organizations — combining data, consulting, and learning to advance commercial excellence.

By connecting strategy, data, and execution, we help organizations translate data into clarity, strategy into action, and vision into measurable results. At our core, we are a people-first, values-driven organization that believes strong teams and trusted partnerships are what ultimately make healthcare and life sciences smarter.

Job Summary

Prominence is looking for a Principal Data Platform Engineer to serve as a senior technical leader responsible for owning both the architecture and delivery of modern data platforms for our clients. This is a highly visible, client-facing role where you will shape data strategy, design scalable solutions, and lead implementation efforts end-to-end. You will partner directly with client stakeholders while mentoring internal team members, ensuring high-quality delivery aligned with Prominence’s standards of excellence.

This role is ideal for someone who thrives at the intersection of strategy and execution—equally comfortable whiteboarding architecture with executives as they are building and optimizing pipelines alongside engineering teams.

Requirements

Essential Functions and Responsibilities

Own the end-to-end architecture and delivery of scalable data solutions, with a strong emphasis on Databricks-based platforms and modern cloud ecosystems

Lead design and implementation of data pipelines, data models, and transformation frameworks that support analytics, reporting, and advanced use cases

Serve as a primary client-facing technical leader, building trusted relationships and guiding stakeholders through complex data challenges and solution decisions

Translate ambiguous business requirements into clear, actionable technical architectures and delivery plans

Establish and enforce best practices across data engineering, including g data ingestion (pipeline orchestration, testing, and optimization) and DevOps.

Drive platform strategy and architecture decisions, including lakehouse design, medallion architecture, and governance frameworks

Lead and mentor delivery teams, providing technical guidance, code reviews, and hands-on support to ensure successful project outcomes

Collaborate with cross-functional teams including data architects, analysts, and client stakeholders to ensure alignment and value delivery

Identify risks, proactively address challenges, and ensure high-quality, timely delivery across engagements

Contribute to internal capability building, including reusable frameworks, accelerators, and thought leadership

Support business development efforts by shaping technical solutions, contributing to proposals, and participating in client discussions

Minimum Qualifications

7+ years of experience in data engineering, with demonstrated progression into technical leadership and architecture ownership
Deep expertise in Databricks and modern lakehouse architectures, including Delta Lake and Spark-based processing
Advanced proficiency in SQL and Python, with strong experience building and optimizing large-scale data pipelines
Hands-on experience with cloud platforms such as AWS, Azure, or GCP, including data services and infrastructure design
Strong understanding of data modeling concepts, ETL/ELT patterns, and distributed data processing
Experience with orchestration tools (e.g., Airflow) and transformation frameworks (e.g., dbt)
Proven ability to lead technical delivery while remaining hands-on when needed
Strong client-facing experience, including requirements gathering, solution design, and executive communication
Ability to navigate ambiguity, prioritize effectively, and drive clarity in complex environments
Healthcare data experience (e.g., Epic, HL7, FHIR, claims data) is strongly preferred
Experience with CI/CD, DevOps practices, and infrastructure-as-code tools is a plus

Skills, Knowledge, and Abilities

Professional: Demonstrates a high degree of professionalism by treating others with respect, keeping commitments, building trust within the team, working with integrity, and upholding organizational values ("Do Great Work and Move Mountains”).

Organized: Capable of managing multi-faceted work streams efficiently, ensuring smooth project flow.

Self-Motivated: Adept at managing personal schedules, meeting deadlines, and monitoring work quality independently.

Highly Adaptable: Quickly acclimates to new project assignments and diverse work environments.

Creative: Approaches problems with a solution-oriented mindset, working collaboratively to find novel solutions.

Communication: Effectively conveys clear and concise messages that resonate with the intended audience, both in written and verbal forms.

Proactive: Anticipates potential issues, addresses concerns before they escalate, and effectively raises them when necessary.

Team-Oriented: Passionate about mentoring and guiding others, thrives in a team-based environment.

Physical and Medical Standards, Working Conditions and Environment

Must be able to sit or stand at a computer and work remotely and independently from personal home office
Willingness to travel for onsite meetings and business reviews as needed
Flexibility to work across time zones to support client needs and engagements

Hours Worked

This is a Full Time, 40 hour per week position.

Benefits

Prominence is dedicated to hiring the best and brightest minds in healthcare and maintaining a culture that rewards our employees for following their passion. We are excited to offer the following benefits for this position:

Competitive Salaried and Hybrid Compensation Plans

Health Care Plan (Medical, HSAs, Dental & Vision)

Retirement Plan (401k)

  • Life Insurance (Basic, Voluntary & AD&D)
  • Dependent & Health Savings Accounts
  • Short Term & Long Term Disability
  • Paid Time Off (Vacation/Sick & Public Holidays)
  • Training & Development Fund

Work From Home

Charitable Giving to Causes You Believe In

Employment Eligibility

Must be legally authorized to work in the United States without sponsorship.

Commitment to Equal Opportunity

The world’s most talented professionals come from every background. All applicants will be considered for employment without attention to age, race, color, religion, gender identity and/or expression, sexual orientation, national origin, marital status, veteran or disability status, or any other characteristic protected by law. In addition, Prominence will provide reasonable accommodations for qualified individuals with disabilities.

If you are smart and good at what you do, come as you are. All qualified candidates are encouraged to apply.

Partnership Eligibility

Our partnerships are extremely important to us. This online application is not intended for anyone who is currently under a non-compete agreement or has an arrangement that precludes employment at Prominence. We appreciate your help in respecting our partners.

Interested in learning more? Apply below to connect with our Talent team about immediate openings and future consulting projects.

Headquarters

Remote, United States

Work Location

remote

Job Category

Data Science / AI / Machine Learning

Application Deadline

Not specified

Job Type

full-time

Experience Level

lead

Application Method

Apply via Website

Salary

Not specified

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