- Lead the design, documentation, and implementation of modern, scalable Lakehouse architectures using GCP and Databricks
- Drive and ensure the success of complex data migration projects, from on-premises environments to the cloud or between cloud platforms
- Define standards for data ingestion, processing, and consumption
- Ensure high performance and infrastructure cost optimization (FinOps)
- Define best practices for dimensional, relational, and NoSQL data modeling
- Implement Bronze, Silver, and Gold medallion architecture
- Define guidelines for data governance, quality, lineage, and security in compliance with Brazil’s LGPD
- Serve as the primary technical reference for Engineering and Data Science teams
- Support complex technical decisions
- Promote a data-driven culture and mentor junior professionals
- Drive continuous improvement across the Data Chapter
- Collaborate with Livelo stakeholders and business leaders to translate business needs into robust technical solutions
Requirements
- More than 5 years of experience in scalable data governance
- Ability to create and promote sustainable governance processes and policies
- More than 5 years of hands‑on experience with Google Cloud Platform (GCP), including BigQuery, Cloud Storage, Dataflow, Cloud Composer, and Dataplex
- Deep knowledge of data modeling and Data Mesh
- Understanding of data catalog and cross-domain data‑sharing platforms
- Knowledge of Apache Iceberg integrated with Apache Spark and BigLake
- Experience with Databricks, including Delta Lake, Unity Catalog, and cluster optimization
- Proven experience migrating structured and unstructured data and designing new architectures from the ground up
- Previous experience as a Data Architect or Lead/Principal Data Engineer
- Proficiency in PySpark, Python, and advanced SQL for large‑scale data processing
- Experience with Lakehouse architecture and CI/CD applied to data (DataOps)
- Excellent communication skills, with the ability to translate technical concepts for business audiences and lead architecture discussions
- Official GCP certifications are a plus
- Official Databricks certifications are a plus
- Experience with Infrastructure as Code (IaC), preferably Terraform, is a plus
- Experience in loyalty programs, e‑commerce, payments, or financial services is a plus
Core Competencies
Demonstrates expertise in designing and implementing scalable Lakehouse architectures using GCP and Databricks, with a strong focus on data governance, migration, and optimization. Proficient in data modeling, data quality, and mentoring teams to foster a data-driven culture.
Highest-signal resume keywords
- GCP (Google Cloud Platform)
- Databricks
- Data Governance
- Data Modeling
- PySpark
Hard Skills
- Data Migration
- Data Processing
- SQL
- NoSQL
- Data Mesh
- Infrastructure as Code (IaC)
- CI/CD
- DataOps
- Bronze, Silver, Gold Medallion Architecture
- Apache Iceberg
Soft Skills
- Excellent Communication
- Mentoring
- Collaboration
Certifications & Qualifications
- GCP Certifications
- Databricks Certifications
Industry Keywords
- Loyalty Programs
- E-commerce
- Payments
- Financial Services
- LGPD Compliance
Tools & Technologies
- BigQuery
- Cloud Storage
- Dataflow
- Cloud Composer
- Dataplex
- Delta Lake
- Unity Catalog
- Terraform
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Senior Data Architect – Google Cloud Platform and Databricks Arbeitgeber: Jobtailor
Als Front Office Supervisor in unserem dynamischen Team bieten wir Ihnen die Möglichkeit, in einem unterstützenden und freundlichen Arbeitsumfeld zu wachsen. Wir legen großen Wert auf die berufliche Entwicklung unserer Mitarbeiter und bieten regelmäßige Schulungen sowie die Chance, Verantwortung zu übernehmen. Unsere Lage ermöglicht es Ihnen, Teil einer lebendigen Gemeinschaft zu sein, während Sie gleichzeitig die Standards unseres Franchise-Partners einhalten und unseren Gästen einen unvergesslichen Aufenthalt bieten.
