As a Senior Data & AI Cloud Engineer at Revolgy, you will be a key leader in designing and executing complex data platform migrations from legacy cloud environments to Google Cloud Platform (GCP). You will leverage your deep expertise in data engineering, complex migration strategies, and modern cloud data platforms to help our enterprise customers transform their data architecture. This is an excellent opportunity to lead challenging, high-impact projects and act as a senior technical authority within a dynamic and supportive team.
Location: Remote position open to candidates in the Europe.
Contract Type: This position is open for candidates interested in Business-to-Business (B2B) contract position in countries in Europe.
About Revolgy
Revolgy is a leading multinational company providing digital transformation services through online collaboration tools and cloud infrastructure operating on Google Cloud Platform and Amazon Web Services. We are a premier partner of Google and Amazon. We serve over 2000 customers around the globe.
What Will You Do?
- Design and Execute Migration Strategy: Lead the design and implementation of the end-to-end data migration strategy, with a sharp focus on BI integration (e.g., AWS Quicksight to BigQuery) and robust pipeline testing.
- Refactor Legacy Pipelines: Architect and lead the refactoring of complex Spark/PySpark transformation logic to GCP-native services, evaluating and implementing the best-fit solution (e.g., Dataproc Serverless, Dataflow, or BigQuery-native SQL).
- Migrate Data Models: Oversee the migration of a large-scale data warehouse, including 60+ interdependent DBT models, ensuring logical and functional parity.
- Ensure Data Integrity: Design and implement a comprehensive data validation framework to ensure data quality and accuracy between source (Databricks) and target (BigQuery) systems.
- Manage Infrastructure as Code: Develop and maintain infrastructure for the data platform using Terraform for GCP resource provisioning.
- Automate & Deploy: Build and manage automated testing and deployment pipelines using GitLab CI/CD.
- Mentor & Support: Act as a senior technical guide, supporting and mentoring medior colleagues in tasks such as running comparative queries, testing DBT models, and documenting validation results.
- Drive Technical Decisions: Contribute to strategic decisions during PoC phases, providing expert input on the trade-offs between different architectural approaches (e.g., lift-and-shift vs. full-native refactoring).
What You Bring
- 5+ years of hands-on experience as a seasoned data engineer. You have a strong track record of delivering complex, enterprise-scale data platform migrations from on-premise or other cloud environments (especially AWS) to GCP.
- 3+ years of deep, hands-on experience with the core GCP data stack, including BigQuery, Dataflow/Apache Beam, Cloud Composer, Vertex AI, and DataPlex.
- Migration Experience: Proven, practical experience migrating data platforms from Databricks/Spark to GCP native services.
- Data Transformation: Expert-level proficiency in DBT (dbt-core, dbt-bigquery), ideally with experience migrating 50+ complex, interdependent models.
- Programming: Advanced skills in Python (including pandas, numpy) and SQL (advanced queries, optimization). You must be comfortable converting PySpark logic to Dataflow/Beam.
- Infrastructure & DevOps: Strong, hands-on experience with Terraform for GCP and building automated GitLab CI/CD pipelines. Experience with Docker/containerization is required.
- Orchestration: Hands-on experience with Apache Airflow and/or Cloud Composer.
What We Offer
- Fully Remote: A 100% remote position with the flexibility to manage your own schedule.
- Impactful Culture: Join a supportive team driven by values like teamwork and innovation, where your proactivity is always celebrated.
- Commitment to Growth: We invest in your professional development through our "Continuous Learning" mindset, supporting both hands-on experience and certifications (like GCP Professional Cloud Architect).
- Innovation in Action: AI and automation aren't just buzzwords here. They are essential tools we expect everyone to use to amplify their impact.
- Autonomy & Accountability: Enjoy the flexibility and trust to influence your work, with full accountability for delivering results.
Equal Opportunity Employer
Diversity and equal opportunity are important to us. We are happy about the interest of all candidates and strive to provide feedback as quickly as possible.
