Senior Data Engineer
Salesforce1 day ago
Base Salary
$173k - $286k/yr
Responsibilities
- Partner with Product teams, business stakeholders, and domain experts to translate high-impact questions and business needs into scalable data models, metrics, analyses, and technical solutions.
- Build foundational datasets that are trusted, well understood, aligned with business strategy, and suitable for self-service analytics.
- Design, build, and scale pipelines and data models that integrate and transform data from multiple sources with measurable quality and predictable SLA performance.
- Own the lifecycle of metrics, analytical models, and data products from exploration and prototyping through production, adoption, and maintenance.
- Lead data governance, data management, information lifecycle, metric standardization, and broader data strategy initiatives.
- Expand access to trusted company metrics and promote data engineering best practices across Slack.
- Provide technical leadership, hands-on guidance, and mentorship to engineers across the organization.
- Use AI-assisted development to improve engineering productivity while maintaining code, data quality, and maintainability standards.
Requirements
- 8+ years of overall software engineering or data engineering experience, including 5+ years of hands-on experience with data architecture, data modeling, data management, and metadata management.
- Ability to independently frame and own ambiguous, high-impact problems through strategy, execution, and measurable outcomes.
- Deep expertise in SQL and experience designing scalable, reliable data pipelines and transformations for large and complex datasets.
- Experience architecting and optimizing data models, schemas, and processing workflows for performance, scalability, cost efficiency, and reliability in modern data warehouse environments.
- Ability to influence technical direction and align Engineering, Product, Data Science, Analytics, and business stakeholders without relying solely on formal authority.
- Proficiency in at least one programming language commonly used in data engineering, such as Python or Java.
- Hands-on experience with large-scale data technologies and platforms such as Snowflake, Spark, Airflow, and Hive.
- Experience with relational and NoSQL data stores and data modeling approaches including logging, columnar, star and snowflake schemas, and dimensional modeling.
- Familiarity with data governance frameworks, software development lifecycle practices, and Agile methodologies.
- Strong written and verbal communication skills for collaboration with technical and business stakeholders.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent training, fellowship experience, or relevant professional experience is preferred.
Benefits
- Benefits include time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.
- Salesforce provides resources intended to support balance and well-being.
- The posting states that the position may be eligible for incentive compensation, equity, and benefits, without specifying eligibility details.
Tech Stack
Categories
Data Engineering
About Salesforce
Salesforce builds cloud-based customer relationship management software and a broader Customer 360 platform for sales, service, marketing, commerce, and analytics, sold by subscription to businesses and public-sector organizations. Founded in 1999 and headquartered in San Francisco, it trades on the NYSE under the symbol CRM. Its portfolio includes Sales Cloud, Service Cloud, Marketing Cloud, MuleSoft integration, Tableau analytics, and Slack for collaboration, with extensive developer tools and APIs.