Senior Data Architect – Google Cloud Platform and Databricks

• 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