云数据工程师 — Snowflake BigQuery 迁移

Role Overview
We are seeking an experienced Senior Data Engineer / Data Migration Architect to lead large-scale enterprise data platform modernization initiatives on Google Cloud. The ideal candidate will have a proven track record of migrating large-scale data warehouses (hundreds of terabytes) to BigQuery, designing high-performance data architectures, and delivering production-grade analytics platforms. Experience migrating from Snowflake to BigQuery is highly preferred; candidates with migration experience from other platforms must demonstrate strong exposure to Snowflake through other engagements.
Key Responsibilities
Data Platform Modernization & Migration

• Lead the assessment, design, and execution of large-scale data warehouse migrations to BigQuery, including environments exceeding hundreds of terabytes of data.

• 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.

Data Engineering & Architecture

• Design, develop, and maintain high-performance data pipelines supporting both batch and streaming workloads.

• Architect secure, scalable, and highly available 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.

BigQuery Engineering & Optimization

• Serve as the technical expert for BigQuery architecture, performance optimization, and best practices.

• Implement advanced SQL optimization techniques to improve query performance and reduce operational costs.

• Design efficient partitioning, clustering, storage, and workload management strategies.

• Optimize data processing pipelines for performance, scalability, and cost efficiency.

Cloud Architecture & Delivery Leadership

• Design and implement enterprise cloud architectures aligned with business and technical requirements.

• Lead customer-facing projects from solution design through implementation and production deployment.

• Provide technical leadership, mentoring, and architectural guidance to engineering teams.

• Support client workshops, architecture reviews, and strategic roadmap discussions.

DevOps, Automation & Platform Engineering

• Automate infrastructure provisioning and platform deployment using Infrastructure as Code (IaC) practices.

• Design and maintain CI/CD pipelines supporting data platform development and deployment.

• Implement monitoring, alerting, testing, and operational automation capabilities.

• Promote DevOps best practices across development and operations teams.

Cross-Functional Collaboration

• Partner closely with Data Scientists, Data Analysts, Software Engineers, and Business Stakeholders to deliver end-to-end data solutions.

• Support advanced analytics, machine learning, and data-driven decision-making initiatives.

• Translate business requirements into scalable technical solutions and actionable delivery plans.

Mandatory 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.

Preferred Qualifications

• Fluent German language skills.

• Experience in technical consulting and customer-facing advisory roles.

• Advanced SQL tuning expertise focused on performance optimization and cost efficiency.

• Experience designing and implementing streaming data pipelines with a strong understanding of event delivery semantics and distributed processing concepts.

• Proven experience building production-grade, internet-scale Big Data solutions using managed cloud services.

• Hands-on experience with Snowflake architectures and migration methodologies.

• Experience with Ab Initio is considered an advantage.

• Strong collaboration experience with Data Scientists, Data Analysts, and Software Engineering teams in enterprise environments.

Preferred Technical Expertise

• Google Cloud Platform (GCP)

• BigQuery

• Data Lake and Data Warehouse Architecture

• Snowflake

• Data Migration & Modernization Programs

• Streaming Data Platforms

• Infrastructure as Code (IaC)

• CI/CD and DevOps Tooling

• SQL Performance Tuning

• Data Governance, Security, and Compliance

• Enterprise Data Architecture

• Analytics and Machine Learning Enablement

Originally posted on Himalayas