Director, Data Ingestion Platform Engineering

salesforce.com, inc.; San Francisco (CA); On-site; USD 197,000 - 345,000; Full time

Job summary

Salesforce is seeking a Director of Software Engineering to lead our Data Ingestion Platform. You’ll own the technical strategy and architecture for high-volume data ingestion from 100+ enterprise systems into Snowflake and Data360, shaping analytics, ML workflows, and enterprise applications.

You will manage senior data engineers, drive scalable pipelines with Snowflake, Kafka, Spark, and Airflow, and partner with cross-functional teams to deliver reliable, secure data products.

Qualifications

• 15+ years of data engineering experience with focus on data ingestion.
• 8+ years of engineering leadership and people management.
• Proven experience architecting and operating high-volume, high-throughput enterprise data ingestion platforms.
• Deep hands-on experience with Snowflake, including data architecture, performance optimization, security, governance, and cost management.
• Strong expertise with Apache Spark for large-scale distributed data processing.
• Hands-on experience designing lakehouse architectures using Apache Iceberg or comparable open table formats.
• Strong experience with Apache Kafka and event-driven, streaming-data architectures.
• Deep proficiency in SQL and at least one general-purpose programming language, preferably Python.
• Strong understanding of data modeling, distributed systems, schema evolution, data contracts, batch and streaming processing patterns.
• Proficiency with infrastructure as code and CI/CD for data workflows.
• Experience implementing enterprise data quality, metadata management, lineage, observability, access control, and governance practices.
• Track record of establishing engineering standards and delivering reliable platforms across multiple teams.
• Experience leading complex technical programs involving multiple systems, stakeholders, and engineering teams.
• Excellent communication and stakeholder-management skills, with the ability to drive alignment across engineering and business leadership.

Responsibilities

• Define and execute the technical strategy and roadmap for enterprise data ingestion platforms.
• Architect, build, and operate high-volume, high-throughput batch and real-time data ingestion systems.
• Lead the design of scalable data pipelines and ETL/ELT workflows using technologies such as MuleSoft, Informatica, Spark, dbt, Iceberg, Kafka and Airflow.
• Design and optimize data models and storage architectures across Snowflake, Data360 and lakehouse environments.
• Partner with the Data Platform team to establish Apache Iceberg-based patterns for open, scalable, and interoperable data storage.
• Ensure data ingestion platforms meet enterprise requirements for availability, performance, security, observability, data quality, and disaster recovery.
• Drive platform scalability through automation, reusable frameworks, standardized ingestion patterns, and self-service capabilities.
• Establish and enforce engineering best practices, including architecture reviews, testing, code reviews, CI/CD, documentation, and operational readiness.
• Evaluate and champion new data technologies, frameworks, and architectural patterns.
• Maintain a strong balance between strategic technical leadership and hands-on involvement in critical architectural decisions.

Skills

Data engineering

Cloud data platforms

Snowflake

Apache Spark

Apache Kafka

Python

SQL

Data modeling

CI/CD for data workflows

Leadership

Tools

Snowflake

MuleSoft

Informatica

dbt

Iceberg

Kafka

Airflow

Spark

Job description

Salesforce is seeking a Director of Software Engineering to lead our Data Ingestion Platform. You’ll own the technical strategy and architecture for high-volume data ingestion from 100+ enterprise systems into Snowflake and Data360, shaping analytics, ML workflows, and enterprise applications.

You will manage senior data engineers, drive scalable pipelines with Snowflake, Kafka, Spark, and Airflow, and partner with cross-functional teams to deliver reliable, secure data products.