Data Engineer/Architect

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Job Title: Data Architect/Data Engineer
Location: Coconut Creek, FL – Hybrid (Monday thru Thursday onsite, Friday 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

• 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.

• 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.
• Contribute to the integration of AI capabilities into the data ecosystem.
• Stay ahead of emerging technologies and recommend innovative solutions.

• 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.

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