Sr. Data Engineer, Enterprise - SlackCentaur Labs • San Francisco, California, United States
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Sr. Data Engineer, Enterprise - Slack
Centaur Labs
- San Francisco, California, United States
- San Francisco, California, United States
Über
As a Data Engineer on the Enterprise team, you’ll partner cross‑functionally with business stakeholders, analytics teams, and back‑end engineers to design, build, and scale both batch and real‑time data pipelines. You’ll contribute directly to initiatives that support key decision‑makers within our enterprise customer base — helping them understand adoption, engagement, and the health of their Slack deployments.
You’ll also be a core contributor to GovSlack , our cross‑team initiative to establish feature parity for U.S. government agencies and highly regulated organizations. This is high‑visibility, high‑impact work that matters beyond the product — it supports national infrastructure.
We’re looking for passionate, detail‑oriented engineers who are excited about building a rock‑solid data foundation and making a real impact at one of the world’s most widely used collaboration platforms.
What You'll Be Doing
Translate complex business requirements into scalable, reusable data models that are easy to understand and adopted across subject areas
Design, implement, and maintain data pipelines that deliver high‑quality data under defined SLAs
Partner with product, analytics, and engineering teams to build trusted, well‑documented foundational datasets aligned with business strategy
Champion data strategy across multiple teams and use cases, driving consistency and reliability at scale
Expand access to core company metrics through strong technical and process foundations
Identify, document, and promote data engineering best practices across Slack
What You Should Have
5+ years of experience in data architecture, data modeling, master data management, or metadata management
Hands‑on expertise with relational modeling approaches — including columnar, star schema, snowflake, and dimensional modeling
Proven track record optimizing schemas, tuning SQL, and scaling ETL pipelines in OLAP and data warehouse environments
Experience with Airflow or a comparable workflow orchestration platform for data pipeline management
Strong proficiency in Python and SQL
Familiarity with data governance frameworks, SDLC, and Agile methodologies
Excellent written and verbal communication skills with the ability to partner effectively across technical and business teams
U.S. citizen or lawful permanent resident, willing to undergo a background check for GovSlack authorization
Bonus Points
Hands‑on experience with Spark SQL, AWS (S3, EMR), Apache Pinot, or Hadoop/Big Data ecosystems
Experience with Flink or other real‑time stream processing frameworks
Proficiency in Scala
Familiarity with cloud platforms (AWS, GCP, or Azure)
Experience with NoSQL data stores
Benefits and Compensation In the United States, compensation offered will be determined by factors such as location, job level, job‑related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including time‑off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.
The typical base salary range for this position is $172,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $285,800 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
Inclusive Hiring (EEO Statement) Salesforce is an equal‑opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. Every employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Accommodations If you need a reasonable accommodation during the application or recruiting process, please submit a request via the Accommodations Request Form.
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Sprachkenntnisse
- English
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