Data360 Platform Director

About the role

The Director of Software Engineering will 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.

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 visualization platform 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 management and analytics

Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud)

Experience with data warehousing and ETL processes

Experience with data modeling and database design

Skills

• Strong technical acumen and problem-solving skills
• Experience with CI/CD pipelines and automation tools
• Knowledge of infrastructure as code (IaC) practices
• Experience with data quality monitoring and performance validation
• Experience with data governance and compliance
• Experience with data visualization tools (e.g., Tableau)
• Experience with data warehousing and ETL processes
• Experience with database design and management

Benefits

Time off programs

Medical, dental, vision, and mental health support

Paid parental leave

Life and disability insurance

401(k)

Employee stock purchasing program

Pay

$197,300 - $313,700 annually

In select cities within the San Francisco and New York City metropolitan area, the base salary range is $237,700 - $344,700 annually.

Schedule

Full-time