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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading the design and execution of scalable data platforms, with a strong focus on data processing techniques and machine learning systems. Proven ability to manage and mentor engineering teams while ensuring high-quality solutions in regulated environments.
Highest-signal resume keywords
Apache FlinkSparkAirflowData Pipeline ManagementPeople Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
JavaScalaPythonMachine Learning SystemsData Processing TechniquesPerformance OptimizationData Pipeline PerformanceCloud ComputingDistributed SystemsInformation Retrieval
Soft Skills
LeadershipCommunicationInterpersonal SkillsProblem-SolvingAnalytical Skills
Tools & Technologies
SnowflakeIcebergOpenSearchContainersOrchestration
Certifications & Qualifications
Bachelor's DegreeMaster's DegreePh.D. in Computer Science
Industry Keywords
High-Volume Data ProcessingLow-Latency SystemsRegulated EnvironmentsData Engineering Best Practices
Tech Stack
Tools & technologiesAirflowApacheAWSAzureCloudDistributed SystemsGoogle Cloud PlatformJavaPythonScalaSpark
About the role
Key responsibilities & impact- Lead the strategic vision, design, and execution of SailPoint's enterprise data and AI platforms
- Oversee the Data and AI Platform teams and guide technical and professional growth
- Build, mentor, and manage a high-performing engineering team
- Define and execute the technical roadmap for the data platform
- Drive innovation in data processing techniques and technologies
- Lead the design, development, and deployment of scalable data pipelines using Flink, Spark, dbt, Airflow, Snowflake, and Iceberg
- Ensure reliability, availability, and security of data-processing infrastructure
- Collaborate with engineering teams to integrate data technologies with SailPoint systems and services
- Partner with data scientists, data engineers, product managers, and stakeholders to understand requirements
- Communicate technical concepts to technical and non-technical audiences
- Advocate for data-processing and engineering best practices and align expectations across teams
- Evangelize excellence in high-volume data processing
- Represent SailPoint data-platform innovations at external conferences
- Deliver presentations and write blog posts on SailPoint's big-data processing leadership
- Conduct performance reviews, provide feedback, and identify training and development opportunities
- Manage workload, prioritize projects, and ensure timely delivery of high-quality solutions
Requirements
What you’ll need- Bachelor's degree in a related field, or equivalent professional experience
- 12+ years of software development experience, focused on data processing or machine learning systems at scale
- 8+ years of engineering people management experience
- 3+ years managing engineering managers
- Deep expertise in Apache Flink, Spark, Airflow, Iceberg, and OpenSearch
- Hands-on experience with Java and/or Scala and Python
- Deep understanding of data pipeline and ML system performance, including partitioning, parallelism, serialization, scaling, and storage formats
- Strong knowledge of 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
Benefits
Comp & perks- Medical insurance for employees and dependents, fully paid by SailPoint
- Accident insurance, fully paid by SailPoint
- Term life insurance for all employees, fully paid by SailPoint
- Company-sponsored health checkups for employees
- Discounted rates for dependents
- Annual performance bonus
- Private equity at certain levels
- 24 leaves every year
- 10 holidays
- Flexible work hours
- Hybrid work model with office attendance 2–3 days a week (unless otherwise specified)
- Office amenities
- Competitive salaries