DataPlatform Director

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Software Engineering

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.

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Data Platform Services (DPS) is the engineering backbone of Salesforce's internal data ecosystem. We operate the Enterprise Data Platform-connecting Data 360 (Data Cloud), Snowflake, Tableau, and Mule Soft-to enable teams to build trusted, scalable data products. As Customer Zero, we validate platform capabilities at scale and ensure they meet enterprise needs.

We are seeking a Director of Software Engineering to lead key areas within the Data 360 (Data Cloud) and Agent Analytics platform portfolios. This is a hands‑on engineering leadership role focused on execution, platform maturity, and operational excellence. You will be responsible for driving engineering rigor across the platform, improving automation, reliability, and scalability, and ensuring that our internal data platform is production‑ready, secure, and compliant.

You will partner closely with product and business teams to deliver capabilities that support critical enterprise use cases.

• Drive adoption of CI/CD and automation to reduce manual deployments and improve release velocity
• Implement test automation strategies, including regression testing, data quality monitoring, and performance validation
• Promote Infrastructure as Code (IaC) practices to ensure consistent, reproducible environments
• Embed governance and compliance checks into engineering workflows

• Lead engineering efforts to implement and operationalize Data 360 capabilities at enterprise scale
• Partner with product teams to validate features and provide structured feedback based on real‑world usage
• Support architecture alignment for availability, scalability, and reliability requirements
• Contribute to continuous improvement of platform capabilities through feedback loops and testing

• Drive engineering execution for Tableau and Unified Analytics capabilities
• Ensure alignment of semantic layers and metric definitions across platforms
• Improve performance, reliability, and cost optimization of analytics workloads
• Partner with operations teams to meet service level objectives (SLOs)

• Ensure platform reliability through monitoring, incident response, and observability practices
• Support operationalization of Tier 1 mission‑critical workloads
• Enforce security best practices, including access controls and data protection
• Ensure compliance with SOX and enterprise governance standards

• Engineering Leadership: 10-15 years of experience leading engineering teams, with focus on platform engineering and Dev Ops
• Data Platform Expertise:
  Experience with modern data platforms and architectures, including cloud data ecosystems
• Execution Focus:
  Strong track record of delivering scalable, reliable systems in production
• Collaboration:
  
  Ability to partner across engineering, product, and business teams
• Operational Mindset:
  Experience improving reliability, automation, and engineering efficiency

This role is critical to ensuring that Salesforce's data platform operates with the scale, reliability, and governance required for enterprise use. By strengthening engineering practices, improving automation, and…