Senior Cloud Data Engineer: Snowflake to BigQuery Migration Expert

Remote Jobs

United States

Remote

USD 125,000 - 190,000

Full time

3 days ago

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Job summary

Remote Jobs is seeking an experienced Senior Data Engineer / Data Migration Architect to lead large-scale enterprise data platform modernization on Google Cloud. You will drive migrations of hundreds of terabytes to BigQuery, design scalable data architectures, and deliver production-grade analytics platforms.

Ideal candidates have Snowflake-to-BigQuery migration experience, strong data engineering and cloud architecture skills, and proven leadership in customer-facing projects.

Qualifications

Minimum 5 years of experience designing, developing, and delivering high-performance data pipelines for both streaming and batch processing workloads.
Proven experience migrating large-scale enterprise data warehouses to BigQuery, preferably from Snowflake.
Experience with data warehouse environments measured in hundreds of terabytes.
Strong expertise in BigQuery architecture, administration, optimization, and operations.
Demonstrated experience building and maintaining secure, reliable, and scalable data lakes and data warehouses on Google Cloud Platform.
Proven ability to design enterprise cloud solutions and lead customer projects through successful delivery.
Hands-on experience with infrastructure automation, DevOps practices, and CI/CD implementation.
Google Cloud Professional Data Engineer certification.
Fluent English communication skills, both written and verbal.

Responsibilities

Lead the assessment, design, and execution of large-scale data warehouse migrations to BigQuery.
Define migration strategies, data models, governance frameworks, and performance optimization approaches.
Drive modernization initiatives that improve scalability, reliability, cost efficiency, and operational excellence.
Collaborate with stakeholders to ensure seamless migration with minimal business disruption.
Design, develop, and maintain high-performance data pipelines supporting both batch and streaming workloads.
Architect secure, scalable data lakes and data warehouse solutions on Google Cloud Platform.
Establish enterprise-grade data processing frameworks, integration patterns, and governance standards.
Ensure data quality, observability, lineage, and operational reliability across the data ecosystem.
Serve as the technical expert for BigQuery architecture, performance optimization, and best practices.
Implement advanced SQL optimization techniques to improve query performance and reduce costs.
Design efficient partitioning, clustering, storage, and workload management strategies.
Automate infrastructure provisioning and platform deployment using IaC; design CI/CD pipelines.
Promote DevOps best practices across development and operations teams.
Partner with Data Scientists, Analysts, and Engineers to deliver end-to-end data solutions.

Tools

BigQuery

Snowflake

GCP

IaC

CI/CD

Job description

Ideal candidates have Snowflake-to-BigQuery migration experience, strong data engineering and cloud architecture skills, and proven leadership in customer-facing projects.

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