Data Architect / Engineer (Onsite Coconut Creek)

Job Title: Data Architect/Data Engineer Location: Coconut Creek, FL (Monday–Thursday onsite, Fridays remote) Type: Contract to Hire Overview Our client is a healthcare innovator with a startup spirit and a collaborative, transparent culture. The team values accountability, adaptability, and a hands-on approach in a fast-paced but supportive environment. While laid-back and approachable, they maintain high professional standards and encourage strong communication and a healthy work-life balance. This role is a hybrid between Data Architect and Data Engineer, designed for someone who can wear multiple hats and take ownership of a fragmented data environment. The ideal candidate will diagnose current issues, restore trust in data, and build a sustainable architecture that supports future growth—including AI integration and EHR transformation. Key Responsibilities Data Architecture & Governance • Diagnose and document the current state of data systems, integrations, and flows. • Design and implement a sustainable data architecture and governance strategy. • Build trust in data by resolving inconsistencies and improving system interoperability. • Lead efforts to clean, structure, and secure data pipelines across Azure, AWS, and APIs. • Support EHR and data warehouse implementation and future-state planning. Collaboration & Communication • Work closely with clinical, pharma, and IT teams to bridge gaps and foster alignment. • Communicate complex technical concepts clearly to executives and technical teams. • Create documentation (schemas, architecture diagrams, PPTs) to support transparency and decision-making. • Mentor technical teams and delegate tasks effectively while maintaining accountability. AI & Innovation • Contribute to the integration of AI capabilities into the data ecosystem. • Stay ahead of emerging technologies and recommend innovative solutions. Requirements • 8+ years of IT experience, with 4+ years in data architecture. • Strong experience in healthcare IT standards and compliance (HL7, FHIR, HIPAA). • Proven background in Azure, AWS, APIs, and cloud-native architecture. • Experience with EHR systems and data warehouse implementations. • Hands-on experience with Python, JSON, and diagnosing broken data pipelines. • Strong documentation and project management skills. • Ability to thrive in a startup-like, evolving environment. • Excellent communication skills—able to distill complex issues for both execs and technical teams. • Experience navigating organizational change and fostering cross-functional collaboration. First 90 Day Expectations: First 30 Days: Understand & Assess • Deep dive into the current data landscape — assess Azure APIs, data flows, and warehouse issues. • Map current-state architecture and data lineage (clinical, technical, pharma systems). • Identify critical failure points and areas of miscommunication between systems. • Begin building relationships across stakeholder groups to understand use cases and pain points. • Deliver an executive-ready “Current State Assessment” with key risks and recommended actions. 30–60 Days: Stabilize & Execute • Begin implementing fixes for broken or misconfigured data pipelines. • Clean up and normalize critical datasets to enable reliable reporting. • Develop and communicate quick-win strategies to build organizational trust in data outputs. • Create and share documentation (schemas, architecture diagrams, integration flowcharts). • Begin developing a data governance model and outline for future-state design. 60–90 Days: Strategize & Build • Finalize and begin executing the future-state data architecture roadmap. • Participate in (or help drive) selection and planning around the new EHR system. • Establish data governance processes and policies with clear roles and accountability. • Introduce AI-readiness planning into the architecture (e.g., pipeline flexibility, clean datasets). • Deliver a long-term roadmap with milestones, resource needs, and success metrics for executive alignment.