Lead Snowflake Data Engineer

Overview

We are looking for a skilled and experienced Lead Snowflake Data Engineer to join a top healthcare client in Austin, TX. The Snowflake Engineer will architect, design, and manage data solutions across a modern cloud ecosystem, focusing on integrating Azure Data Lake, Snowflake Data Cloud, Boomi Integration Platform, and Oval Edge Data Governance Platform into a cohesive, scalable, and governed data environment.

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• Snowflake Development & Architecture:
  Lead the design, development, and optimization of data pipelines, transformations, and data models within Snowflake.
• Implement and manage Snowpipe, Snowpark, and Streamlit for real-time ingestion, advanced analytics, and interactive applications.
• Architect data structures following bronze, silver, and gold layer principles, ensuring scalable and reliable data flows.
• Champion adoption of Data Lakehouse architecture, blending structured and unstructured data into an enterprise-ready solution.

• Data Integration & Orchestration:
  Oversee end-to-end data flows leveraging the Boomi Integration Platform, including orchestration, scheduling, and monitoring of ETL/ELT jobs.
• Ensure seamless integration between Azure Data Lake, Snowflake, and other enterprise applications.
• Collaborate with enterprise architects to optimize data movement patterns for performance and cost efficiency.

• Governance & Data Quality:
  Partner with data governance teams to operationalize data cataloging, lineage, and stewardship within Oval Edge.
• Define and enforce best practices for metadata management, access controls, and data lifecycle policies.
• Establish quality frameworks and monitoring to ensure trustworthy and compliant data delivery.

• Leadership &
  
  Collaboration:
  
  Lead a team of data engineers, providing technical guidance, mentoring, and code reviews.
• Partner with data analysts, data scientists, and business stakeholders to deliver solutions that meet business needs.
• Advocate for cloud-native best practices and emerging technologies that align with the enterprise data strategy.

• Bachelor’s degree in computer science, Information Systems, Data Management, or related field; or equivalent work experience
• 7+ years of experience in data engineering, with at least 3+ years leading Snowflake-focused initiatives
• Previous experience leading or mentoring a team as this role will act as a hands-on supervisor
• Deep expertise in Snowflake Data Cloud, including Snowpipe, Snowpark, and Streamlit
• Experience with Azure Data Lake (ADLS) and related services
• Hands-on experience with Boomi Integration Platform for data flows, orchestration, and automation. (experience with similar systems will be accepted, Informatica, Mulesoft, Talend, Fivetran)
• Strong SQL and Python skills; proficiency in building scalable and reusable data pipelines
• Snowflake’s Snow Pro Core Certification
• Boomi certification (Professional Developer or higher) required within first 90 days. Access to training and certification available via Central Health.

• Preferred Qualifications:
  
  Experience with CI/CD and Dev Ops practices for data engineering (Git Hub Actions, Azure Dev Ops, Terraform, DBT, Coalesce, Rivery, etc); knowledge of machine learning workflows and enabling analytics through Snowpark and external tools; familiarity with Oval Edge or similar data governance platforms (Collibra, Alation, Informatica); exposure to healthcare, financial services, or other highly regulated industries;
  Snowflake’s Snow Pro Advanced:
  Data Engineer

• Competitive compensation package
• Full Benefits;
  Medical, Vision, Dental, and more
• Opportunity to join an industry-leading organization
• Close-knit, team-oriented culture

• 27+ years of proven industry experience in 4 major markets
• Medical, Dental, Vision, and Life Insurance
• Clearly Rated’s Best of Staffing Client and Talent Award winner 10 years in a row

• Mid-Senior level

• Full-time

• Information Technology

• IT Services and IT Consulting

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