Data360 Platform Director

Tableau Software

San Francisco, CA

JOB DETAILS
SKILLS
Access Control, Automation, Best Practices, Cloud Architecture, Cloud Computing, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Cost Analysis, Cost Control, Data Analysis, Data Quality, DevOps, Ecosystems, Incident Response, Information/Data Security (InfoSec), Leadership, Maintain Compliance, Metrics, Multiplatform/Cross-Platform, Operations Security (OPSEC), Performance Analysis, Performance Management, Production Systems, Quality Monitoring, Regression Testing, Reliability Engineering, Salesforce.com, Sarbanes-Oxley Act (SOX), Scalable System Development, Snowflake Schema, Software Engineering, Systems Scalability, Tableau, Team Lead/Manager, Team Player, Test Automation, Test Data, Test Strategy, Use Cases
LOCATION
San Francisco, CA
POSTED
1 day ago

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 MuleSoft—to enable teams to build trusted, scalable data products. As Customer Zero, we validate platform capabilities at scale and ensure they meet enterprise needs.

About the Role

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.

Key Responsibilities

Platform Engineering & DevOps Maturity

• 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

Data 360 Platform Execution (Customer Zero)

• 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

Visualization Platform Enablement

• 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)

Operational Excellence & Security

• 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

What We’re Looking For

• Engineering Leadership: 10–15 years of experience leading engineering teams, with focus on platform engineering and DevOps

• 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

Why It Matters

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 validating capabilities through Customer Zero, this team enables trusted data and analytics at scale.

About the Company

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Tableau Software