Cloud Data Engineer — Snowflake BigQuery Migration

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