Director, Engineering - Data Platform

SailPoint is a leader in Identity Security, and they are seeking a Director of Engineering to oversee their Data Platform. This role involves leading the Data Engineering and Data Presentation groups, focusing on building a reliable infrastructure for data processing and enhancing user experience across SailPoint's products.

Responsibilities:

• Build, mentor, and manage a high-performing team of software engineers specializing in Flink, Spark, Snowflake, Iceberg, Airflow, OpenSearch 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
• Articulate 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
• 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

Requirements:

• 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 or equivalent experience