At AccessHope, we’re Fighting cancer with everything we know™ by putting the ever-growing body of cancer knowledge to work for the greater good. Through a revolutionary employer health benefit offering, we remotely connect employees with cancer support services from National Cancer Institute (NCI)–Designated Comprehensive Cancer Centers. Instead of requiring those who have been diagnosed with cancer to come to the centers for renowned cancer expertise, AccessHope brings their support to the patient and their local oncologist—wherever they’re located—to improve care, outcomes, and value.

Hopeful for those we support, rebellious in our approach, and collaborative by breaking down barriers, AccessHope is seeking a Lead Data Platform Engineer to help us uniquely deploy the latest cancer knowledge to the places it’s needed most. As an ideal candidate, you’ll oversee the administration, integration, and best practice deployment of our Databricks environment. This individual will serve as the account administrator and team lead, guiding the organization in the effective use of Databricks for advanced analytics, AI/ML, and data architecture initiatives.

Key responsibilities

• Serve as the primary administrator for our Databricks platform, managing account settings, permissions, and workspace governance.
• Design, implement, and maintain platform integrations with Azure Synapse and Salesforce.
• Lead platform setup, configuration, and optimization to ensure high performance, scalability, and security.
• Establish and enforce best practices in deployment, version control, and Git integration for collaborative development.
• Partner with the Director of Data Science & AI to align platform capabilities with organizational goals.
• Provide technical leadership on data architecture and AI/ML best practices, ensuring compliance with governance and security frameworks.
• Mentor and guide team members in leveraging Databricks for advanced analytics and machine learning workflows.
• Collaborate with cross-functional teams to support data pipelines, advanced reporting, and machine learning model deployment.

Required qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or similar field of study.
• 4 years of experience plus min experience may substitute for minimum education requirements.
• 7+ years of professional experience in data engineering, analytics platforms, or cloud data architecture. 3+ years of hands-on Databricks platform administration in an enterprise environment.
• Strong understanding of Azure Synapse and Salesforce integrations.
• Hands-on expertise with cloud data platforms, preferably Azure.
• Proficiency in Git/GitHub/GitLab integration for version control and collaborative development.
• Solid knowledge of data architecture principles and modern AI/ML development lifecycles.
• Excellent communication and leadership skills with a demonstrated ability to lead cross-functional teams.

Preferred qualifications

• Master’s degree in Computer Science, Data Engineering, Information Systems, or similar field of study.
• Experience with CI/CD pipelines for Databricks and data science workflows.
• Familiarity with Azure Data Lake, Delta Lake, and modern data warehouse architectures.
• Prior experience in healthcare, life sciences, or real-world evidence (RWE) analytics (a plus).
• Databricks Certified Data Engineer Associate or Professional
• Databricks Certified Machine Learning Professional
• Microsoft Certified: Azure Data Engineer Associate

Additional Information

• Virtual within the continental U.S.; support or collaboration across multiple time zones; may include travel up to 10%
• AccessHope is proud to offer a range of benefits to support your health, finances, and work-life balance, including:
• Medical, Dental, and Vision Coverage
• 401(k) Plan with Employer Match
• Paid Time Off (PTO)
• Parental Leave
• Short-Term Disability
• Voluntary Benefits (e.g., life insurance, additional coverage options)
• Remote work schedule

We’re dedicated to helping our employees thrive in all aspects of life.

The estimated pay scale represents the typical pay range AccessHope reasonably expects to pay for this position, with offers determined based on several factors which may include, but not be limited to, the candidate’s experience, expertise, skills, education, job scope, training, internal equity, geography/market, etc. This pay scale applies to the current posting only.

AccessHope is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, identity, age, status as a protected veteran, or status as a qualified individual with disability.

Pay Range: $116,729.60 - $155,841.41 per year