Principal Data Engineer, People Data

Experience: 10+ years in a data engineering role, with proven experience in a senior or lead capacity.

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).

Experience designing data models that capture recruiting analytics, engagement signals, and workforce planning metrics.

You have experience building and maintaining batch and realtime pipelines using technologies like Spark, Kafka

Deep experience designing and working with modern lakehouse and warehouse architectures (Databricks, Snowflake) and modern file formats (Iceberg, Delta)

Design, build and evolve high scale data solutions that serve as the reference architecture for the organization and simplify 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