Principal Data Engineer & Architect — Cloud Data Pipelines

Corelogic; Irvine (CA); On-site; USD 134,000 - 180,000; Full time

Benefits offered by this job

Generous PTO

Paid holidays

Parental leave

Health coverage

401(k) match

Well-being stipend

Tuition assistance

Job summary

Cotality is seeking a Principal Data Engineer / Data Architect to design scalable data models and modern data pipelines. You will lead architecture workstreams, define standards, and collaborate with engineers to deliver enterprise-grade data capabilities on Google Cloud.

The role requires hands-on GCP expertise (BigQuery, Dataflow), Python and PySpark, and experience with graph DBs like Neo4j or Spanner, plus orchestration with Airflow or Beam.

Qualifications

• Bachelor’s degree in computer science, engineering, or related field, or equivalent experience.
• Strong experience designing enterprise data architecture, data models, and scalable processing solutions.
• Hands-on GCP experience with BigQuery and Dataflow.
• Proficient in Python and PySpark.
• Experience with SQL and NoSQL, data warehouses, data marts.
• Experience with graph databases like Neo4j or Spanner.
• Experience with distributed processing and orchestration (Beam, Airflow).
• Ability to document architecture, designs, standards.

Responsibilities

• Design scalable data models and processing frameworks for batch, streaming, API, and analytics.
• Establish data architecture standards and support governance.
• Develop conceptual, logical, and physical data models.
• Define solution architecture, designs, requirements, and approaches.
• Lead engineering workstreams and mentor teams on best practices.
• Resolve complex data architecture and production issues.
• Support data warehouse, data lake, data mart, and data mesh initiatives.

Skills

Enterprise data architecture

BigQuery

Dataflow

Python

PySpark

SQL

NoSQL

Neo4j

Google Spanner

Apache Beam

Apache Airflow

Education

Bachelor’s degree in CS/Engineering

Tools

Google Cloud Platform

BigQuery

Dataflow

Neo4j

Google Spanner

Apache Airflow

Apache Beam

Job description

Cotality is seeking a Principal Data Engineer / Data Architect to design scalable data models and modern data pipelines. You will lead architecture workstreams, define standards, and collaborate with engineers to deliver enterprise-grade data capabilities on Google Cloud.

The role requires hands-on GCP expertise (BigQuery, Dataflow), Python and PySpark, and experience with graph DBs like Neo4j or Spanner, plus orchestration with Airflow or Beam.