Scan your resume against ATS criteria for this Director, Data & AI Platform Engineering role at SailPoint.
Location: Remote, India
About SailPoint:
SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide, giving our customers unmatched visibility into the entirety of their digital workforce, ensuring workers have the right access to do their job – no more, no less.
Built on a foundation of AI and ML, our Identity Security Cloud Platform delivers the right level of access to the right identities and resources at the right time, matching the scale, velocity, and changing needs of today’s cloud-oriented, modern enterprise.
As the Director of Data and AI Platform Engineering, you will lead the strategic vision, design, and execution of SailPoint’s high-performance enterprise data and artificial intelligence platforms in Pune. You will spend your days driving technical excellence, scaling our distributed systems, and empowering engineering teams to build data-intensive and machine learning-driven applications with ease. In this role, you will oversee both the Data and AI Platform teams, guiding team members in both technical and professional growth. You will lead a powerhouse of engineering talent working with a sophisticated modern tech stack that includes Apache Flink, Apache Spark, Snowflake, Apache Iceberg, dbt, Airflow, and OpenSearch, alongside state-of-the-art AI/ML engineering tools across multi-cloud environments (AWS, GCP, Azure). You will bridge the gap between high-level architectural design and day-to-day delivery, ensuring our user-facing products have robust full-text search capabilities, data governance, high-volume streaming, and scalable AI infrastructure.
The SailPoint Data and AI Platform teams in Pune are the foundational engines powering our core Identity Security Cloud, the Identity Graph, and various analytics and machine learning-driven products and services across SailPoint. We deliver cutting-edge, reliable, and user-friendly infrastructure for data ingestion, storage, processing, interaction, and machine learning model lifecycle management. Our teams provide a fully managed Lakehouse solution powered by Snowflake and Apache Flink, custom AI/ML model-serving platforms, a Service and Data Catalog, and various custom-built services to manage data and models at massive scale. We support key products and organizations across SailPoint, including Identity Security Cloud, Non-Employee Risk Management, Machine Identity Security, Agent Identity Security, Data Access Security, and Cloud Infrastructure and Entitlement Management.
Onboard into your new role, get familiar with our product offering and technology, proactively meet peers and stakeholders, set up your test and development environment. Go through the product specific trainings to understand the product features. Work with the buddy to understand specific team processes.
Get deeper understanding of the specific functional area that you are part of. Seek to deeply understand business problems. Proactively collaborate on, discuss, debate and refine ideas, problem statements with different (sometimes many) stakeholders, architects and members of your team. Collaborate closely with product managers, software engineers, and other stakeholders to define test requirements, resolve issues, and ensure proper integration of testing processes.
Occasionally serve as a debugging expert during escalations of systems issues that have evaded the ability of less experienced engineers to solve in a timely manner. Collaborates with Product Management and Engineering Manager to produce a prioritized team roadmap.
Scale the enterprise data platform architecture to support a 50% increase in data ingestion volume while maintaining strict low-latency standards.
Establish SailPoint's big data engineering thought leadership by presenting at an external industry conference or publishing a technical blog post detailing our data platform innovations.
Successfully execute the annual strategic technical roadmap, aligning data platform capabilities with SailPoint's long-term business goals.
Nestled in the heart of Pune, a bustling hub of technology and culture, the office exemplifies SailPoint's commitment to excellence. Surrounded by a vibrant atmosphere, the Pune office serves as a strategic center for the company, where cutting-edge solutions are crafted and implemented to address the ever-evolving challenges in identity security. With a team of highly skilled professionals, the office embodies SailPoint's values of Integrity, Innovation, Impact and Individuals.
Our Pune team works under a hybrid model enjoying the office 2-3 days a week (unless otherwise specified).
We provide excellent office amenities, competitive salaries and strong benefits:
SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law.
Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact [email protected] or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations
Benefits:**
How to apply for Director, Data & AI Platform Engineering at SailPoint?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
1+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
Director, Data & AI Platform Engineering
SailPoint · Remote (India)
