Data360 Platform Director

About the role

The Director of Software Engineering – Data 360 & Agent Analytics Platform Services leads 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.

Responsibilities

• 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
• Enable 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

Requirements

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

Experience with modern data platforms and architectures, including cloud data ecosystems

Strong track record of delivering scalable, reliable systems in production

Ability to partner across engineering, product, and business teams

Experience improving reliability, automation, and engineering efficiency

Qualifications

Master’s degree in Computer Science, Engineering, or related field

Proven ability to lead and mentor a team of engineers

Experience with data warehousing technologies such as Snowflake, Tableau, and MuleSoft

Knowledge of data governance and compliance principles

Experience with CI/CD pipelines and automation tools

Strong understanding of cloud-based data platforms and architectures

Skills

• Leadership and management skills
• Technical expertise in data platforms and architectures
• Experience with data warehousing technologies
• Strong communication and collaboration skills
• Ability to work in a fast-paced, agile environment

Benefits

See the full list of benefits at https://www.salesforcebenefits.com

Pay

The typical base salary range for this position is $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually.

Schedule

Full-time