Director, Data & AI Platform Engineering

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.

About the team:

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.

• Build, mentor, and manage a high-performing team of software engineers specializing in Flink, Spark, Snowflake, Iceberg, Airflow and related technologies
• Foster a culture of collaboration, innovation, and continuous improvement inline with SailPoint’s 4-Is cultural framework
• Provide technical guidance and mentorship to team members, promoting their professional growth
• Conduct performance reviews, provide feedback, and identify opportunities for training and development
• Manage team workload, prioritize projects, and ensure timely delivery of high-quality solutions

• Define and execute the technical roadmap for our data platform, aligning with SailPoint's overall data strategy
• Drive innovation in data processing techniques, exploring new technologies and approaches to improve performance, scalability, and efficiency
• Lead the design, development, and deployment of robust and scalable data pipelines using Flink / Spark, dbt, Airflow and Snowflake / Iceberg
• Ensure the reliability, availability, and security of our data processing infrastructure
• Collaborate with other engineering teams to integrate our data processing technologies with other SailPoint systems and services

• Partner with data scientists, data engineers, product managers, and other stakeholders to understand their data processing needs and requirements
• Communicate technical concepts and solutions effectively to both technical and non-technical audiences
• Advocate for best practices in data processing and engineering; Manage expectations and ensure alignment across different teams

• Know and evangelize what excellence looks like when it comes to high volume data processing
• Represent SailPoint data platform innovations at external conferences
• Deliver presentations and write blog posts highlighting SailPoint’s leadership in big data processing

• Bachelors degree in related field, or equivalent professional experience
• 12+ years of software development experience, with a focus on data processing or machine learning systems at scale
• 8+ years of engineering people management experience—leading, mentoring, and growing teams, with 3+ years of experience managing engineering managers
• Deep expertise in open-source data technologies like Apache Flink, Spark, Airflow, Iceberg, and OpenSearch
• Hands-on experience with data processing and AI languages such as Java / Scala and Python
• Deep understanding of data pipeline and ML system performance, including partitioning, parallelism, serialization, scaling, and storage formats
• Strong knowledge of modern infrastructure including containers, orchestration, cloud computing (AWS / GCP / Azure), information retrieval, and distributed systems
• Experience supporting high-volume, low-latency systems in highly regulated environments
• Excellent communication, interpersonal, and leadership skills
• Strong problem-solving and analytical skills
• BS, MS, or Ph.D. in Computer Science or a related field of study

What Success Looks Like in the Role

Within the first 30 days you will:

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.

By 90 days:

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.

By 6 months:

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.

By 1 year:

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.

About SailPoint India and our Benefits:

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:

• Our benefits program offers medical insurance for employees and their dependents, accident insurance and term life insurance for all employees. All premiums are paid by SailPoint.
• Company sponsored health-checkups for employees and discounted rates for dependents
• Annual performance bonus
• Private equity at certain levels
• 24 Leaves every year in addition, 10 holidays
• Flexible Work hours

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 applicationassistance@sailpoint.com or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations.

NOTE: Any unsolicited resumes sent by candidates or agencies to this email will not be considered for current openings at SailPoint.