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Senior Data Platform Engineer



Software Engineering
Multiple locations
Posted on Monday, November 20, 2023

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering

Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Senior Data Engineer - Platforms

Job Description:

The Marketing Decisions Science team is working to rebuild and modernize our data architecture with a cloud first approach that uses code reusability through a standardized metadata driven approach, and we are looking for an experienced Senior Cloud Platform Data Engineer to own and lead the design of our modern data warehouse architecture and dbt platform for our Marketing Organization. This role will play a significant role in shaping our data architecture and ensuring the efficiency, scalability, and security of our data infrastructure. You will work closely with cross-functional teams to develop and maintain an innovative data platform that supports data analytics, reporting, and business intelligence efforts.

Key Responsibilities:

RBAC Administration: Own and maintain our organization's set of roles, accounts, warehouses, etc.
Data Integration: Ensure and maintain vital architecture for integration within our Engineering services, whether in AWS, or elsewhere. This would include maintaining query tags, role hierarchy, account credentials, maintaining/assessing security requirements
dbt Integration: Make sure our dbt implementation scales with appropriate architecture, design, and implementation of the dbt platform through use of standard processes, customizations within dbt, dbt macros, etc.
Documentation and Best Practices: Maintain documentation for Snowflake and dbt configurations, processes, RBAC, etc. Also, this role would maintain Confluence documentation for team enablement, standard processes ,onboarding, and training.
Data Governance: Own, develop, and deploy governance rules and data access rules from within Snowflake. This includes data cataloging, data lineage, with use of dbt where possible.
User Support: Offer training and assistance to the engineering team.
Security and Compliance: Ensure data security and compliance.


  • A related technical degree

  • Shown experience as a Snowflake Architect and Engineer, including expertise in designing and running Snowflake data platforms.

  • Strong SQL skills and experience with ETL processes and tools (dbt, specifically)

  • In-depth knowledge of data warehousing concepts, data modeling, and database design.

  • Familiarity with cloud platforms, especially AWS, Azure, or GCP and more specifically integration of these platforms with Snowflake and dbt at the center.

  • Familiarity and experience with Snowpark

  • Proficiency in RBAC management

  • Knowledge of data security and compliance.

  • Strong problem-solving and communication skills.

  • Snowflake certification (e.g., SnowPro) is a plus.



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For California-based roles, the base salary hiring range for this position is $160,000 to $220,000.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: