Lead Data Engineer - Snowflake + DBT
Perficient Bogota, RAP (Especial) Central, Colombia
IT Services and IT Consulting · 5,001-10,000 employees
About the role
Design and deliver end-to-end healthcare data architectures using Snowflake, dbt, and Azure tools. Lead technical delivery across the full software development lifecycle while facilitating requirements alignment with clinical and business stakeholders.
What they look for
Requirements
Requires 8+ years of experience in data engineering or architecture with strong hands-on expertise in Snowflake, dbt, and Azure. Candidates should possess leadership experience and knowledge of healthcare data standards like HL7 and FHIR.
Benefits
Full description
- Design end-to-end healthcare data architectures using Snowflake, dbt, ADLS Gen2, and Azure pipelines.
- Model complex healthcare datasets (EHR/EMR, HL7, FHIR, claims, lab, pharmacy, and operational data).
- Lead delivery across full lifecycle: discovery, design, build, testing, go-live, and support.
- Facilitate workshops and align requirements across clinical, payer, research, and IT stakeholders.
- Build and optimize data pipelines using Snowflake, dbt, Python/SQL, and Azure tools.
- Ensure solutions meet regulatory, privacy, and security standards.
- Apply data quality frameworks to ensure accuracy in clinical and financial reporting.
- Leverage AI/Copilot tools to accelerate development, testing, documentation, and governance.
Perficient is the global AI and technology consulting firm disrupting the traditional consulting model. Powered by our 7,000+ advisors, engineers, and designers, Perficient implements AI-first solutions that break conventions and deliver outcomes that matter. Proudly serving clients that represent the world’s most innovative brands, and in collaboration with our powerful technology partner ecosystem, we bring deep industry expertise and data-driven design to redefine how businesses run and succeed. Perficient is different. For real. Learn more at perficient.com.
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