Director, Software Engineering - Big Data Platform & Storage

Description
The Salesforce Big Data team is looking for an engineering leader to lead high caliber engineering teams to architect, implement, deliver and operate the big data storage platforms and services that run in our own data centres as well as in the public cloud, AWS and GCP, at a massive scale.
We are defining the next generation of trusted enterprise storage in the cloud. We're a fast-paced, AI First, agile and innovative team. We are looking for an engineering leader to lead two high-impact engineering teams at Salesforce: BigData @Scale - DataManagement and BigData @Scale - SOR (System of Record). These teams are the backbone of Salesforce's multi-petabyte HBase infrastructure, owning the systems responsible for large scale org migrations, backup/restore, data lifecycle, and system-of-record reliability across hundreds of production clusters worldwide.
As an AI-First Engineering Leader, you will focus on developing the team around you. Bring your technical chops to drive your teams to success around feature delivery, operational excellence and service ownership for cloud infrastructure as well as our own data centres. You are as enthusiastic about recruiting and building a great team as you are about challenging technical problems that your team will solve. You have a passion for building highly scalable, reliable and available services. You will also help shape, direct and execute our product vision. You’ll be challenged to blend customer-centric principles, industry-changing innovation, and the reliable delivery of new technologies.
Responsibilities
AI Team Culture: Create a culture where engineers actively use AI tools as a force multiplier, for research, spike work as well as day to day sprint work.
AI-Driven Development: Champion the use of AI coding assistants (Claude Code, Cursor etc) to accelerate feature development, code review, test generation, and documentation.
AI-Driven Operational Excellence: Partner with engineers and infrastructure teams to identify and automate high-frequency operational work (on-call runbooks, Day 2 operations, monitoring and alerting)
Define and drive the vision for your teams; with a focus on AI, Customer Success, Feature delivery, Service Ownership, Availability and Scalability; and Ease of Use.
Be a subject matter expert for distributed systems, Big Data compute and storage systems and related technologies.
Build and lead a team of engineers to deliver reliable, scalable and secure big data services for various business needs.
Drive execution and delivery by collaborating with cross functional teams, architects, product owners and engineers.
Setup engineering best practices and tooling to improve CI/CD and Code Quality for your teams.
Invest in continuous employee development for a high caliber team by mentoring and coaching engineers and technical leads in your teams.
Invest in employee wellbeing and lead with empathy.
Recruit and attract top talent.
Required Skills/Experiences
B.E. / B. Tech in Computer Sciences or equivalent field.
12+ years of relevant experience in software development with 3+ years of experience managing teams
Experience in recruiting and building great teams.
Experience in Distributed Systems, NoSQL datastores and/or data processing techniques in big data.
Experience building and operating large scale services on the public cloud platforms like AWS, GCP, Azure
Experience in BigData open source technologies like Phoenix, HBase, Hadoop, Kafka, MongoDB, Spark, Presto, Hive, Airflow.
Experience providing mentorship, technical leadership, and guidance to team members.
Strong customer service orientation and a desire to help others succeed.
Strong focus on Service Ownership with experience in defining Services SLOs/SLAs
Top notch written and oral communication skills.

Work arrangement
No