Director, Data & AI Platform Engineering

Job description

Director, Data & AI Platform Engineering 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.  About the role: 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. Responsibilities : Team Leadership:  • 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  Technical Strategy and Execution:  • 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  Stakeholder Management:  • 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  Engineering Thought Leadership:  • 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  Minimum Qualifications  • 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 regulate