Salesforce
Senior Director of Engineering - Enterprise Data Platform
Salesforce, San Francisco, California, United States, 94199
Senior Director of Engineering - Enterprise Data Platform
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Senior Director of Engineering - Enterprise Data Platform
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Salesforce The Sr. Director of Engineering for the Enterprise Data Platform will provide unified technical leadership to modernize, integrate, and optimize Salesforce's enterprise data ecosystem. This foundational platform is crucial for enabling AI, analytics, and trusted self-service data access at scale. In this role, you will be at the forefront of driving interoperability across our technology stack, operationalizing a data mesh architecture, and ensuring our infrastructure is scalable, reliable, and cost-efficient. You will play a central part in aligning the platform's capabilities with strategic business priorities, including AI enablement, analytics modernization, and company-wide data democratization. Furthermore, you will lead the transformation of the developer experience by integrating next-generation AI-driven tools, such as Cursor for AI-powered coding and Model Context Protocol (MCP) for context-aware automation. By empowering our engineers with AI-assisted workflows, you will enable them to build faster, safer, and smarter. This position is pivotal in aligning our data and integration platform capabilities with Salesforces strategic AI priorities. Key Responsibilities Strategic Leadership Own the technical vision and roadmap for the Enterprise Data Platform Foundation. Align platform engineering priorities with company goals, including AI, analytics, and data-driven decision-making. Operationalize a data mesh architecture to enable domain-oriented ownership, interoperability, and AI/ML enablement. Champion the implementation of a unified governance and operating model across the Data Platform Foundation, which includes Salesforce Data Cloud, Snowflake, dbt Cloud, Airflow, Informatica, Tableau, and AWS. Developer Experience & Self-Service Enablement
Redesign the developer journey to enhance speed, reliability, and simplicity, creating streamlined paths for data integration, analytics, and AI development. Integrate AI-assisted engineering practices (e.g., Cursor, MCP) into developer workflows to boost productivity, quality, and speed. Standardize pipelines, environments, and tooling to streamline deployments across multi-org and multi-cloud landscapes. Develop self-service capabilities while ensuring adherence to governance, security, and compliance standards. Lead platform engineering efforts to operationalize a data mesh architecture that supports domain-oriented ownership, interoperability, and self-service. Reduce technical debt and ensure consistent adherence to security and compliance standards. Operational Excellence
Drive automation, observability, quality, and standardization to improve uptime, performance, and cost efficiency. Implement platform reliability engineering practices to achieve industry-leading Service Level Agreements (SLAs). Oversee proactive incident management, performance optimization, and continuous improvement initiatives. Manage vendor relationships and optimize licensing, infrastructure, and operational spending. People Leadership
Build, lead, and mentor high-performing engineering teams across multiple disciplines. Foster a collaborative culture with strong cross-functional partnerships with Product, Security, Data Governance, and Business Units. What Were Looking For
15+ years of experience in engineering leadership and portfolio/program management within the data and integration domain. Strong communication skills with the ability to influence both executive and technical audiences. A proven track record of delivering scalable, secure, and cost-optimized infrastructure solutions. Experience in enabling AI/ML and advanced analytics through data platform modernization. Deep expertise in technologies such as Snowflake, dbt Cloud, Airflow, Informatica IICS, Tableau, and Data Cloud. A proven track record of implementing AI-assisted developer tools (e.g., Cursor, MCP, Copilot). A strong background in platform operations, governance, and SLA management. Hands-on expertise with Apache Spark, Apache Iceberg, and Python for large-scale data processing and analytics. Experience delivering multi-million-dollar programs using Agile/SAFe methodologies. Exceptional ability to align technical execution with strategic business outcomes. Experience with cloud-native architectures (AWS, GCP, Azure) and hybrid deployments. A background in DevOps, MLOps, or DataOps practices. Familiarity with regulatory compliance (e.g., GDPR, SOX, CCPA) for enterprise data platforms. Demonstrated success in change management within a complex, matrixed organization.
Why It Matters Role
This role is mission-critical to Salesforces Data & AI strategy. By combining engineering modernization, operational stability, and portfolio execution, the Sr. Director will: Accelerate AI innovation across the company on our Data Platform. Deliver a unified, governed, and cost-efficient platform. Ensure high availability, stability, and compliance through rigorous SLA management and governance. Empower developers and business units with faster, safer, self-service capabilities. You will be at the heart of the worlds most trusted AI platform, shaping how Salesforce builds, governs, and scales its next-generation data and integration ecosystem. Unleash Your Potential
When you join Salesforce, youll 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, well 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 whats possible for yourself, for AI, and the world. Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. Recruiting, hiring, and promotion decisions are based on merit and qualifications, without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, disability, or other protected statuses. Salesforce complies with applicable equal opportunity and anti-discrimination laws. Salary ranges are provided per location and are subject to change. For New York-based roles, the base salary hiring range for this position is $251,900 to $384,100; for Washington-based roles, $230,700 to $351,800; for California-based roles, $251,900 to $384,100. #J-18808-Ljbffr
Join to apply for the
Senior Director of Engineering - Enterprise Data Platform
role at
Salesforce The Sr. Director of Engineering for the Enterprise Data Platform will provide unified technical leadership to modernize, integrate, and optimize Salesforce's enterprise data ecosystem. This foundational platform is crucial for enabling AI, analytics, and trusted self-service data access at scale. In this role, you will be at the forefront of driving interoperability across our technology stack, operationalizing a data mesh architecture, and ensuring our infrastructure is scalable, reliable, and cost-efficient. You will play a central part in aligning the platform's capabilities with strategic business priorities, including AI enablement, analytics modernization, and company-wide data democratization. Furthermore, you will lead the transformation of the developer experience by integrating next-generation AI-driven tools, such as Cursor for AI-powered coding and Model Context Protocol (MCP) for context-aware automation. By empowering our engineers with AI-assisted workflows, you will enable them to build faster, safer, and smarter. This position is pivotal in aligning our data and integration platform capabilities with Salesforces strategic AI priorities. Key Responsibilities Strategic Leadership Own the technical vision and roadmap for the Enterprise Data Platform Foundation. Align platform engineering priorities with company goals, including AI, analytics, and data-driven decision-making. Operationalize a data mesh architecture to enable domain-oriented ownership, interoperability, and AI/ML enablement. Champion the implementation of a unified governance and operating model across the Data Platform Foundation, which includes Salesforce Data Cloud, Snowflake, dbt Cloud, Airflow, Informatica, Tableau, and AWS. Developer Experience & Self-Service Enablement
Redesign the developer journey to enhance speed, reliability, and simplicity, creating streamlined paths for data integration, analytics, and AI development. Integrate AI-assisted engineering practices (e.g., Cursor, MCP) into developer workflows to boost productivity, quality, and speed. Standardize pipelines, environments, and tooling to streamline deployments across multi-org and multi-cloud landscapes. Develop self-service capabilities while ensuring adherence to governance, security, and compliance standards. Lead platform engineering efforts to operationalize a data mesh architecture that supports domain-oriented ownership, interoperability, and self-service. Reduce technical debt and ensure consistent adherence to security and compliance standards. Operational Excellence
Drive automation, observability, quality, and standardization to improve uptime, performance, and cost efficiency. Implement platform reliability engineering practices to achieve industry-leading Service Level Agreements (SLAs). Oversee proactive incident management, performance optimization, and continuous improvement initiatives. Manage vendor relationships and optimize licensing, infrastructure, and operational spending. People Leadership
Build, lead, and mentor high-performing engineering teams across multiple disciplines. Foster a collaborative culture with strong cross-functional partnerships with Product, Security, Data Governance, and Business Units. What Were Looking For
15+ years of experience in engineering leadership and portfolio/program management within the data and integration domain. Strong communication skills with the ability to influence both executive and technical audiences. A proven track record of delivering scalable, secure, and cost-optimized infrastructure solutions. Experience in enabling AI/ML and advanced analytics through data platform modernization. Deep expertise in technologies such as Snowflake, dbt Cloud, Airflow, Informatica IICS, Tableau, and Data Cloud. A proven track record of implementing AI-assisted developer tools (e.g., Cursor, MCP, Copilot). A strong background in platform operations, governance, and SLA management. Hands-on expertise with Apache Spark, Apache Iceberg, and Python for large-scale data processing and analytics. Experience delivering multi-million-dollar programs using Agile/SAFe methodologies. Exceptional ability to align technical execution with strategic business outcomes. Experience with cloud-native architectures (AWS, GCP, Azure) and hybrid deployments. A background in DevOps, MLOps, or DataOps practices. Familiarity with regulatory compliance (e.g., GDPR, SOX, CCPA) for enterprise data platforms. Demonstrated success in change management within a complex, matrixed organization.
Why It Matters Role
This role is mission-critical to Salesforces Data & AI strategy. By combining engineering modernization, operational stability, and portfolio execution, the Sr. Director will: Accelerate AI innovation across the company on our Data Platform. Deliver a unified, governed, and cost-efficient platform. Ensure high availability, stability, and compliance through rigorous SLA management and governance. Empower developers and business units with faster, safer, self-service capabilities. You will be at the heart of the worlds most trusted AI platform, shaping how Salesforce builds, governs, and scales its next-generation data and integration ecosystem. Unleash Your Potential
When you join Salesforce, youll 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, well 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 whats possible for yourself, for AI, and the world. Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. Recruiting, hiring, and promotion decisions are based on merit and qualifications, without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, disability, or other protected statuses. Salesforce complies with applicable equal opportunity and anti-discrimination laws. Salary ranges are provided per location and are subject to change. For New York-based roles, the base salary hiring range for this position is $251,900 to $384,100; for Washington-based roles, $230,700 to $351,800; for California-based roles, $251,900 to $384,100. #J-18808-Ljbffr