Data360 Platform Director
Top focus
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce 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.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Director, Software Engineering – Data 360 & Agent Analytics Platform Services About the Team 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. Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life.
Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.
Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
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Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.
More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.

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.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.