Salesforce, Inc. is looking for a Sr./Lead Data Engineer to build robust data platforms and automated pipelines that deliver data-driven insights for Marketing growth. You will partner with business stakeholders to understand needs, translate them into technical requirements, and design automated data pipelines on Salesforce Data Cloud.
What You'll Do
- Actively develop and maintain data pipelines and workflows, including problem scoping, data cleaning, analysis, and testing on Salesforce Data Cloud.
- Create the vision for Data and Data Warehousing across a product vertical and build the plan to achieve it.
- Own the interaction between IT Data teams to automate processes.
- Manage launching data models into production.
- Design and develop easy, repeatable, and reusable automation for projects.
- Manage and own data warehouse plans across Marketing.
- Review and validate logical and physical designs to ensure alignment with the solution architecture.
- Review solution design to ensure defined standards and frameworks are followed.
- Evaluate, determine root cause, and resolve critical issues.
- Work with internal team members and external partners to support data collection, analysis, and understand reporting needs.
- Collaborate with Data Science teams and support them with all required data for their models.
What We're Looking For
- 6+ years of information systems experience in data engineering, data modeling, automation, and analytics.
- A related technical degree is required.
- Deep understanding of data engineering concepts, database designs, associated tools, system components, internal processes, and architecture.
- Experience working as a solution designer in a customer-focused team.
- Strong experience in writing and maintaining complex ETL (e.g., MuleSoft, Jitterbit, Informatica).
- Experience working closely with Analytics/Data Science teams.
- Proficiency with SQL, Bash, and Python scripting.
- Proficiency with Airflow for orchestrating complex pipelines.
- Proficiency with API-based real-time ingestions.
- Experience with AWS Lambdas for triggering real-time pipelines using platform events.
- Team-first mentality and excellent interpersonal skills.
- Ability to proactively communicate status and identify risks.
- Self-starter, highly motivated, able to shift directions quickly, think through problems innovatively, and deliver against tight deadlines.
- Results-oriented, able to move forward without complete information and with minimal supervision.
Nice to Have
- Knowledge of Salesforce development tech stack like Flows, Apex is a plus.
- Experience with Marketing technology, Salesforce Data models, or Data Cloud is a huge plus.
Technical Stack
- Languages/Scripting: SQL, Bash, Python
- Orchestration: Airflow
- Cloud/Serverless: AWS Lambdas
- ETL Tools: MuleSoft, Jitterbit, Informatica
- Integration: API-based real-time ingestions
- Platforms: Salesforce Data Cloud
- Salesforce Tech: Flows, Apex
Team & Environment
You will work with business partners across Marketing functions and internal technology groups.
Benefits & Compensation
- Time off programs
- Medical, dental, and vision coverage
- Mental health support
- Paid parental leave
- Life and disability insurance
- 401(k)
- Employee stock purchasing program
- Compensation: For Washington-based roles: $157,600 to $253,000. For California-based roles: $172,000 to $276,100.
Work Mode
This is a hybrid role based in one of the following locations: San Francisco, Seattle, or Indianapolis.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment.
