Principal Data Engineer, People Data
Apache Airflow
Big Data
Bigdata
Cloud Data Warehouse
Cloud Platform
Data Architecture
Data Build Tool
Data Engineer
Data Engineering
Data Governance
Data Integration
Data Lake
Data Lakehouse
Data Management
Data Modeling
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Warehouse
Data Warehousing
Databricks
Dataops
Engineer
ETL
Snowflake
SQL
Job Description
Principal Data Engineer for Okta’s People Data / Data & Insights team, focused on building scalable enterprise data platforms for candidate and employee lifecycle reporting.
Responsibilities
- Design, build, and continuously improve high-scale data solutions that act as the organization’s reference architecture and streamline enterprise data access
- Create data quality frameworks including monitoring, anomaly detection, and alerting, with governance, lineage tracking, and change management rigor for externally reported numbers
- Promote standardized data modeling patterns, naming conventions, documentation practices, and metric governance across the data organization
- Lead complex cross-functional technical initiatives across data verticals to accelerate delivery and strengthen data systems
- Make sound technical decisions under ambiguity, balancing near-term delivery with long-term infrastructure investment
- Champion Data Contracts by implementing data contracts and schema evolution practices to improve reliability across global product teams
- Mentor and raise the technical bar by coaching senior engineers, leading cross-functional task forces, and supporting a culture of engineering excellence and data-driven decision-making
- Evaluate and advocate for emerging data technologies and practices to inform the team’s long-term technical direction
Requirements
- 10+ years in a data engineering role, with proven experience in a senior or lead capacity
- Highly desirable: experience with Federal government compliance and security requirements
- Expert-level experience with SQL, ETL/ELT tools (Airflow, dbt), and MPP databases (Snowflake, Redshift)
- Extensive hands-on AWS experience with S3, Lambda, EMR, ECR, EKS
- HR data expertise, including candidate lifecycle, employee records, compensation, and organizational data; ability to design data models for recruiting analytics, engagement signals, and workforce planning metrics
- Bonus: familiarity with Workday data structures
- Experience building and maintaining batch and real-time pipelines using technologies such as Spark and Kafka
- Deep experience with modern lakehouse and warehouse architectures (Databricks, Snowflake) and modern file formats (Iceberg, Delta)
- Demonstrated ability to integrate AI tools to optimize or redesign workflows and drive measurable impact (such as efficiency gains and quality improvements)
- Proven track record of hands-on collaboration with Data Science, Business, and Product teams
Tools & Technologies
- SQL, Airflow, dbt, Snowflake, Redshift
- AWS: S3, Lambda, EMR, ECR, EKS
- Spark, Kafka
- Databricks, Iceberg, Delta
Location & Compensation
- Bellevue, WA (hybrid)
- Salary: USD 197,000 - 270,600 per year
Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
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