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 OvalEdge Data Governance Platform into a cohesive, scalable, and governed data environment.
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Responsibilities
- 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 OvalEdge.
- 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.
Qualifications
- 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 SnowPro 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 DevOps practices for data engineering (GitHub Actions, Azure DevOps, Terraform, DBT, Coalesce, Rivery, etc); knowledge of machine learning workflows and enabling analytics through Snowpark and external tools; familiarity with OvalEdge or similar data governance platforms (Collibra, Alation, Informatica); exposure to healthcare, financial services, or other highly regulated industries; Snowflake’s SnowPro Advanced: Data Engineer
What’s in it for you?
- Competitive compensation package
- Full Benefits; Medical, Vision, Dental, and more
- Opportunity to join an industry-leading organization
- Close-knit, team-oriented culture
Why IDR?
- 27+ years of proven industry experience in 4 major markets
- Medical, Dental, Vision, and Life Insurance
- ClearlyRated’s Best of Staffing Client and Talent Award winner 10 years in a row
Seniority level
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- IT Services and IT Consulting
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