Senior Data Engineer
Salesforce · Posted Sep 29
Customer relationship management, cloud computing, enterprise software, and artificial intelligence solutions
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About the role
The Senior Data Engineer sits on the Marketing Operations team, working cross-functionally with business domain experts, analytics, and engineering teams to design and implement the Data Warehouse model. Partnering with the Business Analytics Data Engineering function, the team builds a data foundation and processes that deliver insights from Product and Corporate Systems to partners, data scientists, and decision-makers across Sales, Customer Success, Marketing, and Finance at Slack. The role focuses on architecting, designing, and implementing data pipelines, data governance, and the analytics tech ecosystem (data warehouse, ETL, and BI tools).
What you will do
- Design, implement, and build pipelines that deliver data with measurable quality under SLA.
- Assemble complex, large data sets that meet functional requirements.
- Partner with data architects, domain experts, data analysts, and other teams to build trusted, well-understood foundations aligned with business strategy that enable self-service.
- Champion the overall strategy for data governance, security, privacy, quality, and retention in line with business policies.
- Own and document data pipelines and data lineage.
- Identify, document, and promote best practices.
- Support and maintain the analytics tech ecosystem (data warehouse, ETL, and BI tools).
Skills used in this role
What the employer is looking for
- 8+ years of experience in data management — data integration, modeling, optimization, data quality, or related data engineering areas.
- 4+ years working in cross-functional teams, collaborating with business stakeholders in Sales or Finance on departmental/multi-departmental data management and analytics initiatives involving product and business system data.
- Solid experience working with Sales, Finance, and product usage data.
- Expertise in dimensional modeling, data warehouse scaling/optimization, performance tuning, and ETL pipelines.
- Deep understanding of both relational and big data systems.
- Strong problem-solving and interpersonal skills, with the ability to make sound, complex decisions in a fast-paced technical environment.
- Ability to work across multiple areas: pipeline ETL, data modeling & design, and complex SQL.
- Excellent written and verbal communication, able to collaborate with both technical and business partners.
- Strong grasp of trade-offs and the ability to navigate between big-picture strategy and implementation detail.
Preferred qualifications
- Prior experience with Airflow.
- Hands-on experience with data warehouse technologies (Snowflake, Redshift) and big data technologies (Hadoop, Hive, Spark).
- Proficiency in Python or similar programming languages.
- Passion for data technologies broadly — SQL, NoSQL, MPP databases, etc.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Salesforce
Salesforce, Inc. is a leading global cloud-based enterprise software company specializing in customer relationship management (CRM) and artificial intelligence solutions. Through its integrated Customer 360 platform, the company provides applications for sales, customer service, marketing automation, e-commerce, and analytics. Powered by innovations like Agentforce, Salesforce helps businesses bridge human capability with autonomous AI agents to drive customer success.
- Industry
- Cloud Computing
- Company size
- 87000+ employees
- Founded
- 1999
- Location
- San Francisco, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25B raised
- 2026-03Post-IPO Debt$25B
- 2003-01Venture Round$1M
- 2001-06Series D$46.9M
- 1999-11Series C$13.2M
- 1999-06Series B$3.8M
Leadership
Chair, Chief Executive Officer & Co-Founder
President & Chief Operating and Financial Officer
Co-Founder & Chief Technology Officer, Slack
President & Chief Strategy Officer
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