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 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 warehousing technologies like Snowflake, Tableau, and MuleSoft

Knowledge of data governance and compliance best practices

Experience with CI/CD tools and automation

Experience with infrastructure as code (IaC) practices

Skills

• Strong technical acumen and problem-solving skills
• Excellent communication and collaboration skills
• Experience with data modeling and database design
• Knowledge of data privacy and security regulations
• Experience with data visualization tools like Tableau
• Experience with cloud platforms like AWS, Azure, or Google Cloud

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: $237,700 - $344,700 annually

Schedule

Full-time