About the role:
Want to be on a team that full of results-driven individuals who are constantly seeking to innovate?
Want to make an impact?
At SailPoint, our Data Platform team does just that. SailPoint is seeking a Senior Staff Data/Software Engineer to help build robust data ingestion and processing system to power our data platform. This role is a critical bridge between teams. It requires excellent organization and communication as the coordinator of work across multiple engineers and projects. We are looking for well-rounded engineers who are passionate about building and delivering reliable, scalable data pipelines. This is a unique opportunity to build something from scratch but have the backing of an organization that has the muscle to take it to market quickly, with a very satisfied customer base.
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.
Organize work from multiple Data Platform teams and customers with other Data Engineers
Communicate status, progress and blockers of active projects to Data Platform leaders
Thrive in an environment with ambiguity, demonstrating adaptability and problem-solving skills.
Qualifications:
BS in computer science or a related field.
10+ years of experience in data engineering or related field.
Demonstrated system-design experience orchestrating ELT processes targeting data
Excellent communication skills
Demonstrated ability to internalize business needs and drive execution from a small team
Excellent organization of work tasks and status of new and in flight tasks including impact analysis of new work
Strong understanding of python
Good understanding of Java
Strong understanding of SQL and data modeling
Familiarity with airflow
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.
Proficiency in AWS service stack.
Experience with DBT, Kafka, Jenkins and Snowflake.
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.
Comfortable working in ambiguous team-situations, showcasing adaptability and drive in solving novel problems in the data-engineering space.
Preferred
Experience with AWS
Experience with Continuous Delivery
Experience instrumenting code for gathering production performance metrics
Experience in working with a Data Catalog tool ( Ex: Atlan )
What success looks like in the role
Within the first 30 days you will:
Onboard into your new role, get familiar with our product offering and technology, proactively meet peers and stakeholders, set up your test and development environment.
Seek to deeply understand business problems or common engineering challenges
Learn the skills and abilities of your teammates and align expertise with available work
By 90 days:
Proactively collaborate on, discuss, debate and refine ideas, problem statements, and software designs with different (sometimes many) stakeholders, architects and members of your team.
Increasing team velocity and showing contribution to improving maturation and delivery of Data Platform vision.
By 6 months:
Collaborates with Product Management and Engineering Lead to estimate and deliver small to medium complexity features more independently.
Occasionally serve as a debugging and implementation expert during escalations of systems issues that have evaded the ability of less experienced engineers to solve in a timely manner.
Share support of critical team systems by participating in calls with customers, learning the characteristics of currently running systems, and participating in improvements.
Engaging with team members. Providing them with challenging work and building cross skill expertise
Planning project support and execution with peers and Data Platform leaders
SailPoint 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 [email protected] or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations.
