SailPoint is looking to build scalable data solutions that power ML and analytics products, specifically focusing on AI Agents for their Product Offering. The role aims to design and build data sets for analytics on AI products and develop complex feature sets for AI/ML products.
Requirements
- Ability to design and implement data models that support business requirements and analytics needs
- Experienced in engineering data pipelines and orchestrating workflows
- Demonstrated system-design experience orchestrating ELT processes targeting data
- Hands-on experience with at least one streaming or batch processing framework, such as Flink or Spark.
- Hands-on experience with containerization platforms such as Docker and container orchestration tools like Kubernetes.
- Familiarity with software engineering best practices (e.g. source control, code reviews, unit testing)
- Familiarity with machine learning concepts and tools to support data-driven decision-making
Responsibilities
- design and build scalable data solutions that power the ML and analytics products our team owns
- designing and building data sets that will be consumed by other teams and functions to perform analytics on AI products
- building complex feature sets that power AI/ML products
- design and implement data models that support business requirements and analytics needs
- engineering data pipelines and orchestrating workflows
- orchestrating ELT processes targeting data
- building data pipelines and orchestrating workflows
Other
- Experience leading projects
- Can-do attitude with a focus on delivering measurable business impact.
- Thrive in an environment with ambiguity, demonstrating adaptability and problem-solving skills.
- Strong communicator who can convey complex topics to different audiences.
- This role may require an onsite interview at our headquarters in Austin, TX.
