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, Atlas 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. As a Staff Software Engineer on our Data Platform team you will help build our SailPoint Data Platform. We are looking for a well-rounded software engineer who is passionate about building a large-scale data infrastructure. You will work closely with Data Engineers, Warehouse Engineers, other software engineers and Data Scientists. You will bring software engineering expertise to our Data Platform team. We are looking for someone with strong Python, Java, SQL, Snowflake and DBT experience. Responsibilities:Spearhead the design and implementation of ELT processes, especially focused on extracting data from and loading data into various endpoints, including RDBMS, NoSQL databases and data-warehouses. Develop and maintain scalable data pipelines for both stream and batch processing leveraging JVM based languages and frameworks. Collaborate with cross-functional teams to understand diverse data sources and environment contexts, ensuring seamless integration into our data ecosystem. Utilize AWS service-stack wherever possible to implement lean design solutions for data storage, data integration and data streaming problems. Develop and maintain workflow orchestration using tools like Apache Airflow. Stay abreast of emerging technologies in the data engineering space, proactively incorporating them into our ETL processes. Thrive in an environment with ambiguity, demonstrating adaptability and problem-solving skills. Requirements:7+ years of professional software development experience At least 5 years of experience addressing and solving intricate data engineering challenges A demonstrated eagerness to acquire new technical skills and adapt to evolving data landscapes Strong programming skills, particularly in Python and Java, complemented by advanced SQL knowledge Experience with Airflow DAGs, DBT models, Snowflake, Spark Extensive hands-on experience building solutions for large-scale data infrastructure and at least one streaming or batch processing framework, such as Flink or Spark. Hands-on experience or deep understanding of data ingestion processes, data management best practices, and data warehousing principles. Hands-on experience with containerization platforms such as Docker and container orchestration tools like Kubernetes. BS in Computer Science, or equivalent experience Preferred:Demonstrated system-design experience orchestrating ELT processes targeting data integration into modern datastores including relational databases, non-relational databases, and data warehouses. Experience leveraging tools such as Kustomize, Helm and Terraform for implementing infrastructure as code. Strong interest in staying ahead of new technologies in the data engineering space.SailPoint is an equal opportunity employer and we welcome everyone to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
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