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SailPoint

Director, Data Platform Engineering

Posted 3 Hours Ago
Be an Early Applicant
Hybrid
Pune, Maharashtra
Expert/Leader
Hybrid
Pune, Maharashtra
Expert/Leader
Lead the SailPoint Data Platform overseeing data engineering and presentation teams. Define technical strategy, manage projects, and mentor engineers in scalable data systems and pipelines.
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Director, Data Platform Engineering  

*This is a Pune, India based role. Working in the office 2-3 days per week is required. 

 

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 team and role: 

The SailPoint Data Platform powers our core Identity Security Cloud, the Identity Graph, and various analytics and machine learning driven products and services across SailPoint. 

Our mission is to deliver cutting-edge, reliable, and user-friendly infrastructure for data ingestion, storage, processing, and interaction, enabling teams to build data-intensive applications with ease and success. This role oversees the Data Engineering and Data Presentation groups as part of the SailPoint Data Platform. The team provides a fully managed Lakehouse solution powered by Snowflake and Apache Flink, a Service and Data Catalog, and various custom-built services to manage data at massive scale. Our platform supports both product and machine learning workloads across SailPoint, serving key products and organizations including Identity Security Cloud, Non-Employee Risk Management, Machine Identity Security, Agent Identity Security, Data Access Security, and Cloud Infrastructure and Entitlement Management. 

Additionally, the group is responsible for Data Presentation powering full-text search capabilities in our user-facing products as well as Data Governance for ensuring data quality and lineage and is the custodian of SailPoint’s Enterprise Data Model.  

We continuously innovate to meet evolving customer needs and market trends. We seek engineering leaders passionate about building world-class data infrastructure products. In this role, you will lead the SailPoint Data Platform, guiding team members in both technical and professional growth.  

You will collaborate closely with cross-functional teams to lead the planning, execution, and success of technical projects, with a focus on enhancing the experience for SailPointʼs internal customers. This role requires a deep understanding of scalable data systems, high-performance data pipelines, event streaming, and engineering instincts to turn conceptual data processing ideas into robust, reusable frameworks. 

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 

  • 12+ years of software development experience, with a focus on data processing at scale 
  • 8+ years of engineering people management experience—leading, mentoring, and growing teams. 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 languages such as Java / Scala and Python 
  • Deep understanding of data pipeline performance, including partitioning, parallelism, serialization, clustering, scaling, and storage formats 
  • Strong knowledge of modern data 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  

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 [email protected] 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.

Top Skills

Airflow
Flink
Iceberg
Java
Python
Scala
Snowflake
Spark

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