Staff Engineer, Databricks Platform

Join the Team Modernizing Medicine

AtModMed were not just building softwarewere reimagining the healthcare experience. Founded in 2010 by a practicing physician and a successful tech entrepreneur we took a radically different approach:we hired doctors and taught them how to code.This for doctors by doctors philosophy has allowed us to create an AI-enabled specialty-specific cloud platform that places patients at the center of care.

A Culture of Excellence

When you join ModMed youre joining an award-winning team recognized for innovation and employee satisfaction. From our global headquarters in Boca Raton Florida and extensive employee base in Hyderabad India we are a team of 4500 passionate problem-solvers on a mission to increase medical practice success and improve patient outcomes:

• Consistently ranked as a Top Place to Work

• 2025 Globee Business Awards:Gold Globee for Technology Team of the Year

• 2025 Black Book Awards:Ranked #1 EHR in 11 Specialties

• Florida Venture Forum:Venture-Backed Company of the Year

We are growing fast thinking big and we are just getting started.

Ready to modernize medicine with us

Job Description Summary:

We are seeking a hands-on Senior/Staff Data Platform Engineer to own and evolve our established Databricks platform on AWS. The platform supports mission-critical data analytics and AI workloads built on regulated healthcare data across multiple teams and products.

This is an individual-contributor technical leadership role reporting to the Director of Data Platform Engineering with no direct reports initially. It is a platform-engineering rolenot an application data-engineering data-science or MLOps role. You will engineer the shared foundation guardrails automation observability and self-service capabilities used by Data Engineering Analytics ML Engineering AI Engineering and MLOps.

• Own Databricks account- and workspace-level capabilities across development test and production environments.
• Automate workspace provisioning and configuration including identity federation SSO/SCIM integration service principals workspace assignments entitlements and administrative controls.
• Administer Unity Catalog including metastores workspace bindings storage credentials external locations lineage auditing and implementation of the access model defined by Data Governance and data owners.
• Define approved patterns for serverless and classic compute jobs interactive compute SQL warehouses and specialized compute when required.
• Maintain compute policies runtime and library standards tagging auto-termination quotas compatibility testing and LTS/deprecation plans that balance security performance reliability and cost.

• Own the IaC strategy and implementation for the Databricks platform building and maintaining reusable Terraform modules with the Databricks and AWS providers.
• Manage supported account workspace Unity Catalog compute and AWS integration configurations through code with environment isolation automated plans and tests approval controls and configuration-drift detection and remediation.
• Build tested CI/CD workflows using account workspace Unity Catalog and shared-platform changes including peer review approvals controlled promotion and rollback.
• Provide reusable Declarative Automation Bundle templatesformerly Databricks Asset Bundlesand secure deployment patterns. Workload teams remain responsible for their code and releases.
• Consume enterprise AWS guardrails and partner with Cloud Platform to automate Databricks-specific networking private connectivity IAM S3 KMS DNS secrets management and connectivity with services such as Aurora and Kafka.
• Implement approved controls for PHI and other sensitive data including encryption network isolation and egress privileged access logging approval workflows access reviews and break-glass procedures.
• Ensure privileged and account-level changes are reviewed and approved by designated Cloud Platform Cybersecurity or Data Governance partners based on the affected control.
• Support security reviews audit evidence risk remediation and production change-management requirements.

• Establish platform service levels health indicators alerts dashboards escalation paths and runbooks using Databricks system tables audit logs CloudWatch
• Participate in a shared on-call and escalation rotation; lead diagnosis root-cause analysis and preventive action for complex Databricks and AWS integration incidents.
• Implement cost attribution budgets tagging showback reporting and optimization recommendations across teams and workloads.
• Track Databricks consumption against commercial commitments forecast capacity and provide technical analysis for planning and renewal decisions.
• Own Databricks recovery patterns and testing in partnership with Cloud Platform and workload owners aligned with agreed recovery objectives.

• Build paved-road templates standards documentation and support mechanisms that increase self-service and reduce one-off administrative requests.
• Partner with Data Engineering Analytics ML Engineering AI Engineering and MLOps to translate workload requirements into supported platform capabilities.
• Configure shared MLflow and Models in Unity Catalog capabilities and enable approved training inference and model-serving patterns as they are adopted.
• Troubleshoot platform issues without assuming ownership of pipeline logic model development evaluations AI application behavior or workload releases.

• Demonstrated ownership of Databricks on AWS in a multi-team production environment including account- and workspace-level administration.
• Strong experience with Unity Catalog identity federation service principals compute policies secure data-access patterns lineage and auditability.
• Deep production experience with Terraform and IaC practices including modular infrastructure built with the Databricks and AWS providers state management source control automated testing and CI/CD.
• Strong AWS knowledge across IAM VPC networking private connectivity S3 KMS security groups logging and cross-account access.
• Experience operating cloud data platforms containing regulated confidential or highly sensitive data.
• Experience with observability incident response change management capacity planning and cloud cost optimization.
• Experience leading a significant platform migration workspace or metastore consolidation runtime upgrade or comparable modernization under production load.
• Working knowledge of Spark and distributed computing sufficient to diagnose platform and workload-performance issues.
• Proficiency in Python for automation plus practical shell scripting and REST API integration.
• Strong communication and influence skills with demonstrated success establishing standards and self-service guardrails across organizational boundaries.

• Experience operating healthcare data platforms and implementing HIPAA-aligned controls for PHI.
• Experience with MLflow Models in Unity Catalog model serving GPU workloads feature engineering platforms or GenAI infrastructure.
• Experience with multi-workspace multi-account or multi-region architectures and disaster-recovery testing.
• Databricks and/or AWS professional certification. Certification is valuable but is not a substitute for production platform ownership.

• Shared-platform configurations are reproducible peer-reviewed and version-controlled through infrastructure as code.
• Privileged access and production changes follow least-privilege and auditable approval practices.
• Within the first 90 days establish measurable baselines for platform reliability configuration drift manual administrative effort and unit cost; demonstrate sustained improvement against those baselines.
• Teams deploy approved workloads through documented reusable self-service patterns.
• Databricks cost and commitment utilization are visible attributable forecastable and optimized without compromising agreed reliability or performance.

This role owns the Databricks platform and implementation of approved technical controls. Cloud Platform owns enterprise AWS foundations and guardrails. Cybersecurity and Data Governance define policy; data owners approve business access. Data Engineering Analytics and AI/ML teams own their code data products models evaluations and releases. The ML/AI/LLM Operations function owns model promotion deployment automation production monitoring and rollback.

ModMed Benefits Highlight: At ModMed we believe its important to offer a competitive benefits package designed to meet the diverse needs of our growing workforce. Eligible Modernizers can enroll in a wide range of benefits:

United States

• Comprehensive medical dental and vision benefits including a company Health Savings Account contribution
• 401(k): ModMed provides a matching contribution each payday of 50% of your contribution deferred on up to 6% of your compensation. After one year of employment with ModMed 100% of any matching contribution you receive is yours to keep.
• Generous Paid Time Off and Paid Parental Leave programs
• Company paid Life and Disability benefits Flexible Spending Account and Employee Assistance Programs
• Company-sponsored Business Resource & Special Interest Groups that provide engaged and supportive communities within ModMed
• Professional development opportunities including tuition reimbursement programs and unlimited access to LinkedIn Learning
• Global presence and in-person collaboration opportunities; dog-friendly HQ (US) Hybrid office-based roles and remote availability for some roles
• Weekly catered breakfast and lunch treadmill workstations Zen and wellness rooms within our BRIC headquarters.

PHISHING SCAM WARNING: ModMed is among several companies recently made aware of a phishing scam involving imposters posing as hiring managers recruiting via email text and social media. The imposters are creating misleading email accounts conducting remote interviews and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from ModMed without a formal interview process and valid communications from our hiring team will come from our employees with a ModMed email address (). Please check senders email addresses carefully. Additionally ModMed will not ask you to purchase equipment or supplies as part of your onboarding process. If you are receiving communications as described above please report them to the FTC website.