About the company
Okta is the leading independent identity provider. The Technology, Data, and Intelligence (TDI) organization is the engine that powers Okta's global workforce, providing the technology and systems that enable our employees to do their best work.
Responsibilities
- Design, build and evolve high scale data solutions that serve as the reference architecture for the organization and simplifying data access across the organization
- Develop data quality frameworks, monitoring, anomaly detection, and alerting, with governance, lineage tracking, and change management rigor appropriate for externally reported numbers
- Drive adoption of consistent data modeling patterns, naming conventions, documentation norms, and metric governance standards across the data organization
- Lead cross-functional technical initiatives across data verticals to accelerate delivery and harden data systems
- Navigate ambiguity and make sound technical decisions, balancing short-term delivery with long-term infrastructure investment
- Champion Data Contracts: implement data contracts and schema evolution practices to ensure reliability across global product teams
- Mentor and Scale: Raise the technical bar by mentoring senior engineers, leading cross functional task forces, and fostering a culture of engineering excellence and data driven decision making
- Stay at the forefront of the data landscape, adopting and advocating for emerging technologies and practices to guide the team’s long-term technical direction
Requirements
- Experience: 10+ years in a data engineering role, with proven experience in a senior or lead capacity.
- Product knowledge: Deep expertise in product behavioral data engineering - specifically in telemetry data, including structured data for product launch analysis, feature usage, retention and other critical product lifecycle metrics.
- Proven experience working closely with Product Engineering teams to partner on successful instrumentation for data collection.
- Technical Expertise: Expert-level experience with SQL, ETL/ELT tools (Airflow, dbt), and MPP databases (Snowflake, Redshift). Extensive hands-on experience with AWS services (S3, Lambda, EMR, ECR, EKS).
- Modern Architectures: Deep experience designing and working with lakehouse architectures (Databricks) and modern file formats (Iceberg, Delta).
Conditions
- The annual base salary range for this position for candidates located in the San Francisco Bay area is between $197,000 - $270,600 USD.
- Hybrid work model.