Who You AreYou are a senior-level Data Engineer and integration architect experienced in designing and scaling enterprise data platforms in cloud-first environments. You bring deep expertise in Databricks and Microsoft Azure and have led the architecture, optimization, and governance of modern data ecosystems.
You think beyond pipelines - you design resilient, scalable data platforms that power analytics, interoperability, and operational systems. You are comfortable operating at both the strategic architecture level and the hands-on engineering level. You thrive in high-growth environments and are motivated by leveraging data to expand access to quality healthcare.
Role ResponsibilitiesEnterprise Data Architecture & Platform Ownership- Architect, design, and scale enterprise-grade data solutions using Databricks and Azure cloud services.
- Own and evolve the Databricks environment, including performance optimization, cost management, governance, and security controls.
- Define long-term data architecture strategy aligned to business growth and healthcare compliance, and the evolution of OnMed's CareStation and HomeStation platforms.
- Establish data modeling standards, metadata management practices, and scalable ETL/ELT frameworks.
Integration Architecture & Interoperability- Serve as lead integration architect across all system interfaces and API-driven data exchanges.
- Design and optimize integration patterns using Azure Data Factory, Azure API Management, and event-driven architectures.
- Ensure reliable, secure, and scalable interoperability between internal systems, third-party platforms, and healthcare data sources - including HL7/FHIR-based integrations with EHR and clinical systems.
- Oversee monitoring, observability, and fault tolerance across all integration touchpoints.
Data Engineering & Pipeline Development- Build and optimize high-performance, scalable data pipelines in Databricks using Python and SQL.
- Design and implement advanced data transformations and complex query optimization.
- Implement automated testing, validation frameworks, and data quality controls to ensure pipeline reliability.
- Drive CI/CD practices and infrastructure-as-code principles for data platform management.
Governance, Security & Compliance- Establish and enforce data governance standards using Databricks Unity Catalog, including lineage tracking, auditing, and role-based access controls.
- Ensure compliance with healthcare data privacy and security regulations including HIPAA, HITRUST, and SOC 2 requirements.
- Implement role-based access, encryption standards, and secure API management, and access controls for PHI/PII data handling.
Cross-Functional Leadership- Partner with BI, analytics, product, and engineering teams to translate business needs into scalable data solutions.
- Provide architectural guidance and mentorship to junior engineers and analysts.
- Influence data strategy at the leadership level through proactive recommendations and roadmap planning.
- Communicate technical concepts clearly to non-technical stakeholders including clinical, operational, and executive audiences.
Knowledge, Skills & Abilities- Experience operating in regulated industries; healthcare (HIPAA, HITRUST, SOC 2) strongly preferred.
- Deep expertise in Databricks: Delta Lake, Unity Catalog, performance tuning, cost optimization, job orchestration.
- Advanced knowledge of Azure services including Azure Data Factory, Azure API Management, Azure Storage, and related cloud infrastructure.
- Strong proficiency in SQL (complex query optimization, performance tuning, indexing strategies) and Python; working knowledge of C# a plus.
- Extensive experience designing scalable ETL/ELT frameworks and data warehousing solutions.
- Experience implementing event-driven or API-based integration architectures.
- Familiarity with healthcare interoperability standards (HL7, FHIR) is a strong advantage.
- Proven ability to balance architectural vision with hands-on execution.
- Strong communication skills with the ability to influence technical and non-technical stakeholders at all levels.
- Demonstrated ability to mentor engineers and drive engineering best practices across a team.
RequirementsEducation & Experience- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 7+ years of progressive experience in data engineering, data architecture, or enterprise integration.
- Bachelor's degree in Computer Science or a related technical field.
- Experience with Databricks and Azure.
- Strong experience designing data models, data pipelines, and integration architectures.
- Advanced SQL and Python skills for ETL, APIs, and workflow automation.
- Hands-on expertise with Azure Data Factory and Azure API Management.
- Experience working with internal system owners, external integration partners, and cross-functional teams around data architecture and API integrations.
- Eligibility to work in the United States.
- Healthcare knowledge is a plus.
BenefitsOnMed provides a competitive salary and benefits package, including unlimited PTO and paid holidays.
The base salary range for this role is up to $170,000 commensurate with the candidate's experience, plus an annual discretionary performance bonus. #LI-HYBRID
