Salesforce Senior Director Engineering - Enterprise Data Platform 

United States, California, San Francisco 

844821076

Job Category

Software Engineering

Job Details

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 Salesforce’s strategic AI priorities.

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 We’re 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

This role is mission-critical to Salesforce’s 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.

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

, and our AI agents accelerate your impact so you can

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Posting Statement

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. For New York-based roles, the base salary hiring range for this position is $251,900 to $384,100. For Washington-based roles, the base salary hiring range for this position is $230,700 to $384,100. For California-based roles, the base salary hiring range for this position is $251,900 to $384,100.