招聘
必备技能
Spark
Airflow
Machine Learning
Director, Data Platform Engineering
This is a Pune, India based role. Working in the office 2-3 days per week is required.
About Sail Point:
Sail Point 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 Sail Point Data Platform powers our core Identity Security Cloud, the Identity Graph, and various analytics and machine learning driven products and services across Sail Point.
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 Sail Point 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 Sail Point, 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 Sail Point’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 Sail Point 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 Sail Pointʼs 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 Sail Point’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
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- 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 Sail Point'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 Sail Point 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 Sail Point data platform innovations at external conferences
- Deliver presentations and write blog posts highlighting Sail Point’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 Open Search
- 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 Sail Point India and our Benefits:
Nestled in the heart of Pune, a bustling hub of technology and culture, the office exemplifies Sail Point'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 Sail Point'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:
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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 Sail Point.
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Company sponsored health-checkups for employees and discounted rates for dependents
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Annual performance bonus
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Private equity at certain levels
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24 Leaves every year in addition, 10 holidays
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Flexible Work hours
Sail Point 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 Sail Point.
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关于SailPoint

SailPoint
AcquiredSailPoint provides identity and access management solutions that help organizations secure and manage user access to applications and data. The company offers cloud-based and on-premises identity governance platforms for enterprises.
1,001-5,000
员工数
Austin
总部位置
$6.9B
企业估值
评价
3.8
10条评价
工作生活平衡
3.5
薪酬
4.0
企业文化
3.8
职业发展
2.8
管理层
3.2
72%
推荐给朋友
优点
Good benefits and compensation
Supportive team environment
Flexible work arrangements
缺点
Limited career advancement opportunities
Management and leadership issues
Heavy workload and high stress
薪资范围
34个数据点
Junior/L3
Mid/L4
Staff/L6
Junior/L3 · Business Analyst
0份报告
$80,400
年薪总额
基本工资
-
股票
-
奖金
-
$68,340
$92,460
面试经验
2次面试
难度
4.0
/ 5
时长
14-28周
体验
正面 0%
中性 0%
负面 100%
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