Bounteous

1 month ago

Senior Snowflake Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Design, build, and optimize a cloud native data platform centered on Snowflake. Own end-to-end architecture from ingestion and modeling to governance, performance tuning, and cost optimization. Collaborate with data engineers, analysts, and stakeholders to deliver reliable, scalable data solutions; mentor junior engineers; establish best practices for the data engineering team and implement CI/CD pipelines using dbt, Git, and Airflow.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Design, develop, and maintain scalable data pipelines and ELT/ETL workflows on Snowflake, integrating data from diverse internal and external sources.
•Architect and optimize Snowflake data models, schemas, and warehouses for performance, reliability, and cost efficiency.
•Implement and enforce data governance, security, role-based access controls, and data quality standards across the platform.
•Monitor and tune warehouse performance, query execution, and resource consumption to control costs and meet SLAs.
•Build and maintain CI/CD pipelines for data infrastructure using dbt, Git, and orchestration frameworks (e.g., Airflow).

Pay and Benefits

Salary: USD 91,000 - 119,000 annually

Key Requirements

•5+ years of data engineering experience, with 3+ years of hands-on Snowflake development in a production environment.
•Expert-level SQL skills, including complex query design, optimization, and performance tuning.
•Strong experience designing dimensional and/or data vault data models and building ELT pipelines.
•Proficiency with dbt for data transformation and modeling.
•Hands-on experience with at least one cloud platform (AWS, Azure, or GCP) and its data services.

Experience:5+ yearsData engineeringCloudSnowflake

Education:Bachelor's

Skills:MentoringCollaborationCommunicationProblem-solvingLeadership

Tech Stack:SnowflakeDbtPythonAWSAzureGCPAirflowDagsterPrefectSnowpipeStreamsTasksTime TravelSnowparkGit

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Bounteous

Bounteous is a digital experience consultancy that designs, builds, and optimizes digital products, platforms, and customer experiences for enterprise brands across marketing, commerce, and analytics.

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: Chicago, United States

Founded: 2003

Website LinkedIn

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Bounteous

1 month ago

Senior Snowflake Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Design, develop, and maintain scalable data pipelines and ELT/ETL workflows on Snowflake, integrating data from diverse internal and external sources.
•Architect and optimize Snowflake data models, schemas, and warehouses for performance, reliability, and cost efficiency.
•Implement and enforce data governance, security, role-based access controls, and data quality standards across the platform.
•Monitor and tune warehouse performance, query execution, and resource consumption to control costs and meet SLAs.
•Build and maintain CI/CD pipelines for data infrastructure using dbt, Git, and orchestration frameworks (e.g., Airflow).

Pay and Benefits

Salary: USD 91,000 - 119,000 annually

Key Requirements

•5+ years of data engineering experience, with 3+ years of hands-on Snowflake development in a production environment.
•Expert-level SQL skills, including complex query design, optimization, and performance tuning.
•Strong experience designing dimensional and/or data vault data models and building ELT pipelines.
•Proficiency with dbt for data transformation and modeling.
•Hands-on experience with at least one cloud platform (AWS, Azure, or GCP) and its data services.

Experience:5+ yearsData engineeringCloudSnowflake

Education:Bachelor's

Skills:MentoringCollaborationCommunicationProblem-solvingLeadership

Tech Stack:SnowflakeDbtPythonAWSAzureGCPAirflowDagsterPrefectSnowpipeStreamsTasksTime TravelSnowparkGit

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Bounteous

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: Chicago, United States

Founded: 2003

Website LinkedIn