Senior Data Engineer: Build Scalable Lakehouse Pipelines

SailPoint Technologies Holdings, Inc.; Northern (KY); Hybrid; USD 109,000 - 183,000; Full time

Benefits offered by this job

Health and wellness coverage

Disability coverage

Life insurance

Flexible vacation policy

Paid holidays

Parental leave

HSA with employer contribution

401(k) with company match

Job summary

SailPoint Technologies Holdings, Inc. is seeking a Senior Data Engineer to join the team building the Next Gen Identity Data Platform.

You will design, build, and operate batch and streaming pipelines, and develop warehouse and lakehouse models for analytics and ML at SaaS scale. You will own pipelines end to end, contribute to data architecture, and collaborate with product, security, and data science teams.

Qualifications

• 5+ years of professional experience building production software, with substantial time in data engineering.
• 2+ years owning meaningful pipelines, datasets, or data services in production.
• Strong hands-on experience with SQL, data modeling, and query optimization — ideally on Snowflake or a comparable cloud warehouse.
• Strong hands-on experience with dbt and Airflow, or close equivalents.
• Proficiency in at least one programming language: Python, Java, or Scala.
• Working experience with distributed processing (batch and streaming) and production experience with at least one of Kafka, Flink, Spark, or Cassandra.
• Practical experience using AI-assisted software development tools in a professional engineering workflow — including data modeling, SQL/dbt, and pipeline development, testing, and documentation.
• Comfort working with cloud-native systems on AWS, Azure, or GCP.
• Knowledge of data governance, security, and compliance best practices.
• Demonstrated ability to deliver high-quality work independently and on time, including in unfamiliar areas of the codebase.
• Strong communication skills: you can write a clear design doc and explain tradeoffs to engineering and product partners.

Responsibilities

• Design, build, and operate scalable ETL/ELT pipelines and data services on our managed lake-house.
• Own meaningful pipelines and datasets end to end — from requirements through production support.
• Build robust data models for the warehouse and lakehouse that support product features, analytics, and ML.
• Contribute to data architecture and design discussions; write and review design documents.
• Improve performance, reliability, and cost across Snowflake, Iceberg, Spark/Flink, and the storage and serving layers.
• Help keep graph-serving data models and access patterns responsive as data volume grows.
• Implement data quality checks, governance, lineage, and observability standards for the work you own.
• Partner with product, infrastructure, security, and analytics teams, and with data scientists and software engineers, to ship practical solutions.
• Set a strong example in code reviews and give constructive, high-signal feedback to peers.
• Mentor junior engineers and contribute to team practices, tooling, and onboarding.
• Use AI-assisted development practices to accelerate delivery while upholding code review, security, and data governance standards.
• Participate in the on-call rotation for data systems and turn incident learnings into lasting fixes.

Skills

SQL

Data modeling

Query optimization

dbt

Airflow

Programming: Python/Java/Scala

Distributed processing

Kafka/Flink/Spark/Cassandra

AI-assisted development tools

Cloud platforms (AWS/Azure/GCP)

Data governance

Education

BS in Computer Science/Engineering or equivalent

Tools

Snowflake

Iceberg

Spark

Flink

Kafka

Job description

SailPoint Technologies Holdings, Inc. is seeking a Senior Data Engineer to join the team building the Next Gen Identity Data Platform.

You will design, build, and operate batch and streaming pipelines, and develop warehouse and lakehouse models for analytics and ML at SaaS scale. You will own pipelines end to end, contribute to data architecture, and collaborate with product, security, and data science teams.