Staff Data Engineer, Customer & Identity Resolution (Austin, TX On-Site)
Core
Lead the design and development of large-scale data pipelines and identity resolution frameworks to unify customer profiles and support analytics.
Role type
Staff Data Engineer (Customer & Identity Resolution)
Builds
Large-scale batch and real-time data pipelines, identity resolution platforms, and graph-based analytics solutions.
Domain
Retail / Customer Data Platforms / Identity Resolution
Deliverable
production ML models
Required skills
Python, PySpark, SQL, Apache Beam, Apache Spark, Apache Airflow, Kafka, Google Cloud Platform (GCP), Databricks, BigQuery, Google Cloud Spanner Graph, Machine Learning for Entity Resolution, Graph Algorithms, Dimensional Modeling, CI/CD
Preferred skills
Splink (Fellegi-Sunter methodology), Neo4j, Cypher, GQL, Retail domain experience
Technologies
Google Cloud Platform, Cloud Dataflow, Cloud Dataproc, Cloud Composer, Databricks, BigQuery, Kafka, Pub/Sub, Spanner Graph, Neo4j, Splink
Responsibilities
Lead team in designing data integrations and identity resolution frameworks; build and maintain large-scale data pipelines; mentor engineers and establish technical roadmaps; implement machine learning models for record linkage and entity resolution; architect graph database solutions for relationship analytics; ensure data quality and system functionality across complex systems.
Seniority
Staff, hands-on IC with leadership responsibilities
