Franklin Fitch
Overview
Were looking for an experienced
Snowflake Data Engineer
to design, build, and manage enterprise-scale data solutions in a modern cloud environment. Youll play a key role in integrating
Azure Data Lake, Snowflake Data Cloud, Boomi Integration Platform, and data governance tools
into a scalable, well-structured ecosystem that delivers high-quality, governed, and accessible data across the organization. Base pay range
$80.00/hr - $95.00/hr What Youll Do:
Architect and optimize Snowflake data pipelines, models, and transformations. Implement Snowpipe, Snowpark, and Streamlit for real-time ingestion, advanced analytics, and applications. Design data structures following bronze, silver, and gold layer principles. Lead integration and orchestration of data flows using Boomi (or similar tools like Informatica, Mulesoft, Talend, Fivetran). Partner with governance teams to operationalize cataloging, lineage, and stewardship within platforms like OvalEdge, Collibra, or Alation. Define and enforce standards for metadata management, access controls, and data quality monitoring. Mentor a team of data engineers, drive best practices, and collaborate with analysts, scientists, and business stakeholders. What Were Looking For:
7+ years of data engineering experience, including 3+ years leading Snowflake-focused projects. Deep expertise in
Snowflake
(Snowpipe, Snowpark, Streamlit). Strong knowledge of
Azure Data Lake
and cloud-native architectures. Hands-on experience with
Boomi
or similar integration/orchestration platforms. Familiarity with
data governance platforms
(OvalEdge, Collibra, Alation, Informatica). Strong SQL and Python skills; proven track record building scalable pipelines. Leadership experience with the ability to set technical standards and mentor teams. Snowflake SnowPro Core Certification required. Boomi certification (or ability to obtain within 90 days, with training support provided). Nice to Have:
Experience with CI/CD and DevOps practices (GitHub Actions, Azure DevOps, Terraform, DBT, Coalesce, Rivery). Knowledge of machine learning workflows and enabling analytics with Snowpark. Background in healthcare, financial services, or other regulated industries. Seniority level
Mid-Senior level Employment type
Contract Job function
Information Technology Industries
Staffing and Recruiting Referrals increase your chances of interviewing at Franklin Fitch by 2x #J-18808-Ljbffr
Were looking for an experienced
Snowflake Data Engineer
to design, build, and manage enterprise-scale data solutions in a modern cloud environment. Youll play a key role in integrating
Azure Data Lake, Snowflake Data Cloud, Boomi Integration Platform, and data governance tools
into a scalable, well-structured ecosystem that delivers high-quality, governed, and accessible data across the organization. Base pay range
$80.00/hr - $95.00/hr What Youll Do:
Architect and optimize Snowflake data pipelines, models, and transformations. Implement Snowpipe, Snowpark, and Streamlit for real-time ingestion, advanced analytics, and applications. Design data structures following bronze, silver, and gold layer principles. Lead integration and orchestration of data flows using Boomi (or similar tools like Informatica, Mulesoft, Talend, Fivetran). Partner with governance teams to operationalize cataloging, lineage, and stewardship within platforms like OvalEdge, Collibra, or Alation. Define and enforce standards for metadata management, access controls, and data quality monitoring. Mentor a team of data engineers, drive best practices, and collaborate with analysts, scientists, and business stakeholders. What Were Looking For:
7+ years of data engineering experience, including 3+ years leading Snowflake-focused projects. Deep expertise in
Snowflake
(Snowpipe, Snowpark, Streamlit). Strong knowledge of
Azure Data Lake
and cloud-native architectures. Hands-on experience with
Boomi
or similar integration/orchestration platforms. Familiarity with
data governance platforms
(OvalEdge, Collibra, Alation, Informatica). Strong SQL and Python skills; proven track record building scalable pipelines. Leadership experience with the ability to set technical standards and mentor teams. Snowflake SnowPro Core Certification required. Boomi certification (or ability to obtain within 90 days, with training support provided). Nice to Have:
Experience with CI/CD and DevOps practices (GitHub Actions, Azure DevOps, Terraform, DBT, Coalesce, Rivery). Knowledge of machine learning workflows and enabling analytics with Snowpark. Background in healthcare, financial services, or other regulated industries. Seniority level
Mid-Senior level Employment type
Contract Job function
Information Technology Industries
Staffing and Recruiting Referrals increase your chances of interviewing at Franklin Fitch by 2x #J-18808-Ljbffr