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Customer Success Snowflake Jobs (NOW HIRING)

Job Summary The Customer Success Manager will lead a team that plays a substantial role in meeting ... Snowflake, Excel โ€ข Experience with data visualization tools like Tableau โ€ข Ability to ...

About the role As a Strategic Customer Success Manager, you are the "air traffic controller" for ... Working understanding of the modern data stack, cloud architectures (Snowflake, Databricks, etc ...

Job Requisition ID # 26WD95672 Autodesk is hiring a Director of Customer Success Finance to serve ... Proficient in tools such as Anaplan, Sigma, Google Analytics, with Snowflake experience a plus

Director of Customer Success Finance

Denver, CO ยท On-site

$170K - $276K/yr

Job Requisition ID # 26WD95672 Autodesk is hiring a Director of Customer Success Finance to serve ... Proficient in tools such as Anaplan, Sigma, Google Analytics, with Snowflake experience a plus

Delivering Customer Success is an important focus for Dataiku. As a Senior Customer Success ... Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications ...

Delivering Customer Success is an important focus for Dataiku. As a Senior Customer Success ... Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications ...

Delivering Customer Success is an important focus for Dataiku. As a Senior Customer Success ... Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications ...

Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we ... As a Customer Success Manager (CSM) at Domino, you will be responsible for maintaining and growing ...

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Showing results 1-20

Customer Success Snowflake information

See salary details

$32.5K

$83.1K

$140K

How much do customer success snowflake jobs pay per year?

As of Jun 9, 2026, the average yearly pay for customer success snowflake in the United States is $83,064.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $99,000.00 per year, depending on experience, location, and employer.

What is the difference between Customer Success Snowflake vs Customer Support Specialist?

AspectCustomer Success SnowflakeCustomer Support Specialist
CredentialsRelevant certifications (e.g., Snowflake certifications), experience in data platformsTechnical support training, customer service skills
Work EnvironmentCollaborative, strategic, client-facing roles within data and cloud environmentsHelp desk, troubleshooting, technical issue resolution
Employer & IndustryTech companies, cloud data platforms, SaaS providersIT support, software companies, service providers
Search & Comparison IntentUnderstanding roles in data platform customer successTechnical support roles in customer service

Customer Success Snowflake focuses on building long-term client relationships, onboarding, and ensuring clients maximize the platform's value. In contrast, Customer Support Specialists primarily handle technical issues and troubleshooting. While both roles involve customer interaction, Snowflake roles are more strategic and relationship-oriented, whereas support roles are more technical and reactive.

Infographic showing various Customer Success Snowflake job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $83,064 per year, or $39.9 per hour.
Data Engineer - Customer Success Analytics

Data Engineer - Customer Success Analytics

ObjectWin Technology

Santa Clara, CA โ€ข Remote

$133K - $160K/yr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Description:
The Data Engineer will own and strengthen the data foundation that powers Customer Success for Evergreen//One, our subscription offering.
This role is responsible for building and maintaining scalable data pipelines, improving and restructuring Snowflake architecture, and ensuring subscription data is clean, trusted, and analytics-ready. You will play a critical role in resolving recurring data inconsistencies surfaced in Gainsight and Tableau by developing well-modeled, reliable datasets that serve as a clear source of truth.
This is a hands-on role focused on data ownership, modeling, quality, and performance - enabling scalable automation and future AI-driven solutions across Customer Success.
WHAT YOU'LL DO
Design, build, and maintain ETL/ELT pipelines from Salesforce, Gainsight, and other operational systems into Snowflake.
Audit, normalize, and restructure existing Snowflake tables and views to improve clarity, consistency, and performance.
Develop clean, analytics-ready data models that power Tableau dashboards, Gainsight workflows, and executive reporting.
Translate business logic (ARR, renewals, churn, consumption, health scoring) into structured, documented data definitions.
Investigate and resolve root causes of reported data discrepancies and implement durable fixes.
Optimize query performance, warehouse utilization, and overall Snowflake efficiency.
Implement data validation, monitoring, and quality controls to improve trust in reporting.
Document data lineage, transformations, and definitions to improve transparency and governance.
Partner closely with Senior Data Analysts, Customer Success, and Ops to ensure scalable, reusable datasets.
Prepare structured datasets that support automation initiatives and future AI use cases.
WHAT YOU'LL BRING
Minimum Required Experience & Skills
Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or equivalent practical experience
2+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)
2+ years of experience in designing, developing, and maintaining robust data models from structured and unstructured sources
Experience proactively identifying opportunities to improve ETL & dashboard performance and cost
2+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, analytics engineer, or similar positions
Experience with data warehouse technologies (Snowflake, BigQuery, Spark, etc) and data build tools such as DBT.
Experience in Git/GitHub and branching methodologies, code review tools, CI tools, JIRA, Confluence.
Strong understanding of data modeling principles (normalization, dimensional modeling, schema design).
Experience proactively identifying and improving data pipeline or dashboard performance.
Strong analytical and problem-solving skills, including experience investigating and resolving data inconsistencies.
Nice to have
Experience working with Salesforce data models (Accounts, Opportunities, Contracts, Subscriptions).
Experience with Gainsight, Tableau, and SnapLogic.
Experience supporting SaaS or subscription-based business models (ARR, renewals, consumption).
Exposure to automation, predictive modeling, or AI-related data preparation.
Experience implementing data governance, access controls, and documentation standards.
Experience with server-side languages like TypeScript/Node.JS/Python/Kotlin
Experience with RESTful API design
MSP NOTES
Fully remote candidates but preference for candidates in the San Francisco Bay Area
Fixed end date: January 29, 2026 but possibility of extension depending on performance and business needs
Max Bill Rate: (USD)***/hr