Senior Director, Data Engineering

Salesforce

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
San Francisco, CANew York, NYAtlanta, GASeattle, WA
Salary
$218,400–$365,200 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $195k
This role $292k
$120k most similar roles pay here $391k

This role pays more than 92% of similar roles. Most pay $146,600–$242,787 — the shaded band above. At the midpoint, this role pays about $292k versus about $195k for comparable roles.

Based on 240 similar postings.

Employer

About Salesforce

Salesforce is the world''s leading customer relationship management (CRM) platform, offering cloud-based software for sales, service, marketing, analytics, and application development. Industry: Enterprise Software & Cloud Computing

Salesforce currently has 144 open roles on FindRole.

Listed pay typically runs $148,500–$227,000 across 110 roles with salary data.

Most-posted roles

View all roles at Salesforce

At a glance

TL;DR · Senior Director, Data Engineering

As Senior Director, Data Engineering - Slack, you will lead a forty-person organization responsible for transforming the data engineering stack into a foundation for agentic analytics and development. You will oversee the full data engineering lifecycle, including infrastructure, ingestion, data products, semantic layers, and AI-facing services. Your primary mission is to evolve the platform from traditional analytics into a machine-readable knowledge base that supports autonomous AI agents. Key responsibilities include architecting data APIs, MCP servers, and real-time streaming infrastructure while establishing LLM-aware observability using OpenTelemetry GenAI conventions. You will manage the roadmap for warehouse reliability, cost optimization, and governance while partnering with Data Science teams. The role requires expertise in warehouse infrastructure, streaming ingestion, semantic layers, and tools like Airflow to build a robust substrate for both human analysts and AI agents.

What you'll do

  • Lead a 40-person organization to transform the data engineering stack into a foundation for agentic analytics and development.
  • Architect data layers, APIs, and semantic interfaces that allow AI agents to query and act on Slack's data autonomously.
  • Evolve the metrics platform into machine-readable knowledge with governed definitions and natural-language access patterns.
  • Build real-time streaming data infrastructure to support sub-second decision-making and low-latency retrieval for AI agents.
  • Establish AI-native observability by implementing LLM-aware tracing, cost attribution, and quality metrics across the data stack.
  • Own the Data MCP strategy to expose the data warehouse and analytics tools as agent-accessible enterprise datasets.
  • Manage the full data engineering roadmap including infrastructure, ingestion, governance, and team-specific sub-goals.
  • Hire, develop, and retain a high-performing team of engineering managers and senior individual contributors.

What we're looking for

  • 10+ years of experience in data engineering, data platform, or infrastructure engineering roles.
  • 5+ years of experience in engineering leadership at the Director level or above.
  • Proven track record building and scaling data platforms for consumer or enterprise SaaS.
  • Experience leading through organizational change, including team consolidations and multi-team integrations.
  • Demonstrated success partnering with Data Science and Analytics leadership as a peer stakeholder.
  • Strong track record of hiring, developing, and retaining engineering managers and senior individual contributors.
  • Excellent cross-functional communication skills to present technical vision and strategy to executive stakeholders.
  • A related technical degree is required.
  • Experience building data platforms for AI/ML workloads (preferred).
  • Hands-on understanding of how LLMs and AI agents consume data, including semantic layers and vector search (preferred).
  • Experience with agentic systems or building developer tools powered by AI (preferred).
  • Track record shipping data-as-a-product such as APIs, SDKs, or self-serve platforms (preferred).
  • Familiarity with modern data stack components like warehouse infrastructure and streaming ingestion (preferred).

More like this

Similar roles

Senior Director, Security Engineering

Salesforce

Remote (San Francisco, CA) +6 2 days ago $218,400–$365,200
AI LLM Zero Trust Security-as-Code Incident Response Threat Hunting Vulnerability Management Product Security Infrastructure Protection FedRAMP SDLC Prompt Injection Threat Modeling
10+ yrs exp Remote

Senior Data Engineer

Salesforce

Atlanta, GA 21 days ago
SQL Python Java Snowflake Spark Airflow Hive Data Modeling NoSQL SDLC Agile Data Governance Metadata Management
8+ yrs exp

Senior Director Data Engineer

Capital One Financial

McLean, VA +3 4 days ago $314,800–$359,300
Python SQL Scala Java AWS Azure Spark Databricks EMR Glue Snowflake Redshift MongoDB Cassandra DynamoDB Airflow Dagster MLOps GenAI LLM
9+ yrs exp

Director, Data Engineering

Abbott

Madison, WI 42 days ago
Data Engineering AWS Azure GCP AI ML MLOps Data Lakes Metadata Management Distributed Data Systems Data Quality Enterprise Architecture Software Engineering Digital Platforms
10+ yrs exp

Senior Director of Data Platform Engineering

Upstart

Remote 1 day ago $261,000–$357,200
Data Engineering Data Infrastructure Database Engineering Data Governance Analytics Engineering Data Quality Data Architecture Machine Learning Platform Data Pipelines
10+ yrs exp Remote