Senior Data Architect – Google Cloud Platform and Databricks

Job not on LinkedIn

🔥 13 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 14%

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🗣️🇧🇷🇵🇹 Portuguese Required

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Logo of Leega

Leega

201 - 500 employees

Founded 2010

💼 Consulting

📣 Marketing

🔌 API

Consulting • Marketing • API

Leega is a leading technology solutions provider in Latin America, specializing in data analytics and cloud solutions. As the first company in the region certified by Google Cloud for Data Analytics, Leega offers a range of services including application development, machine learning, and risk management analytics. The firm partners with major cloud services such as AWS and Microsoft Azure to help businesses enhance their data management and transition effectively to the cloud, ultimately driving digital transformation and innovation.

📋 Description

• 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

🏖️ Benefits

• Porto Seguro health insurance, with the option to add a spouse and children • Porto Seguro dental insurance for employees and dependents • Profit-Sharing and Results-Based Bonus (PLR) • Childcare assistance • Alelo meal and food allowance • Home office allowance • Partnerships with educational institutions, offering discounts and incentives for courses and degree programs • Certification incentives, including cloud certifications (GCP, Azure, AWS, and others) • Livelo Points • TotalPass • Mindself, with incentives for meditation and mindfulness • Ongoing professional development

Apply Now

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