Jobs / United States / Salesforce INC
Director of Software Engineering (Data)
Salesforce INC · 🇺🇸 California - San Francisco
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 1,544 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 498 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Salesforce INC paid sponsored hires in similar roles4 certified filings for “Software Engineering MTS” (Data Scientists) in MA: $165k–$189k, median $177k. Most were filed at wage level II (50%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Sponsor Radar — Salesforce INC
The US Department of Labor certified 1,544 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 498 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Salesforce INC →
About the role
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 Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. We’re hiring a Director of Software Engineering to lead our Data Engineering team. You’ll own the technical strategy and execution for enterprise-scale data ingestion platforms that power analytics, operational workflows, ML models, AI agents and business applications across the organization. This role will lead an established team of senior data engineers and drive the architecture of high-volume, high-throughput data ingestion systems. You’ll set engineering direction for data ingestion from 100+ enterprise systems into Snowflake and Data360 leveraging technologies like MuleSoft, Informatica, Spark, dbt, Iceberg, Kafka and Airflow while ensuring our data ingestion platform is scalable, reliable, governed, secure, and easy for internal teams to use. This is a director-level role with direct people management responsibility for senior data engineers. What You’ll Do Technical Leadership • Define and execute the technical strategy and roadmap for enterprise data ingestion platforms. • Architect, build, and operate high-volume, high-throughput batch and real-time data ingestion systems. • Lead the design of scalable data pipelines and ETL/ELT workflows using technologies such as MuleSoft, Informatica, Spark, dbt, Iceberg, Kafka and Airflow. • Design and optimize data models and storage architectures across Snowflake, Data360 and lakehouse environments. • Partner with the Data Platform team to establish Apache Iceberg-based patterns for open, scalable, and interoperable data storage. • Ensure data ingestion platforms meet enterprise requirements for availability, performance, security, observability, data quality, and disaster recovery. • Drive platform scalability through automation, reusable frameworks, standardized ingestion patterns, and self-service capabilities. • Establish and enforce engineering best practices, including architecture reviews, testing, code reviews, CI/CD, documentation, and operational readiness. • Evaluate and champion new data technologies, frameworks, and architectural patterns. • Maintain a strong balance between strategic technical leadership and hands-on involvement in critical architectural decisions. People Management • Directly manage senior data engineers, providing mentorship, coaching, and career development support. • Set clear goals and expectations, conduct regular one-on-one meetings, and lead performance and talent reviews. • Build a collaborative, inclusive, accountable, and high-performing engineering culture. • Develop technical leaders and create growth paths for senior and staff-level engineers. • Partner with recruiting and engineering leadership to grow the team as business needs evolve. • Establish effective team structures, ownership models, and operating mechanisms. Cross-Functional Collaboration • Partner with Product, Data Platform, Architecture, Analytics, Data Science, Security, Governance, and business stakeholders to align priorities and technic