Senior Data Architect – Google Cloud Platform, Databricks

Job not on LinkedIn

🕒 June 18

🗣️🇧🇷🇵🇹 Portuguese Required

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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

• Leega is a company dedicated to providing efficient, innovative service to its clients — and our greatest asset is our people. Our culture is inspiring and our values guide daily life: ethics and transparency, commitment to quality, teamwork, economic, social and environmental responsibility, human relations, and credibility. We seek innovative professionals who are motivated by challenges and focused on results. If you are looking for a dynamic, supportive company that invests in employees through continuous training, Leega is the place for you! >> LEEGA IS FOR EVERYONE — we will be very happy to have you on our team. Come be part of our story and help build our future. Register for our openings now!

🎯 Requirements

• WHAT WE'RE LOOKING FOR • More than 5 years of hands-on, essential experience with the Google Cloud Platform (GCP) ecosystem (BigQuery, Cloud Storage, Dataflow, Cloud Composer, etc.). • More than 3 years of solid, essential experience using Databricks (Delta Lake, Unity Catalog, cluster optimization). • Proven experience in projects migrating structured and unstructured data and in designing new architectures from scratch. • Strong prior experience working as a Data Architect or as a Lead/Senior Data Engineer. • Proficiency in PySpark, Python and advanced SQL for large-scale data processing. • Experience with Lakehouse architecture and implementing DataOps CI/CD pipelines for data. • Deep knowledge of data modeling concepts and Data Mesh principles. • Excellent communication skills to translate technical terms for the business and to lead architectural discussions.

🏖️ Benefits

• 🏥 Porto Seguro Medical Plan — Comprehensive healthcare coverage for you and your family, with the option to include a spouse and children. • 🦷 Porto Seguro Dental Plan — Dental coverage for you and your dependents. • 💰 Profit Sharing (PLR) — Recognition for your work and contribution to the company's success. • 👶 Childcare Allowance — Financial support to help parents care for young children. • 🍽️ Alelo Food and Meal Vouchers — Practical support for daily meals. • 💻 Home Office Allowance — Support to help you set up a comfortable workspace at home. • 📚 Partnerships with Educational Institutions — Access to education with discounts and incentives for courses and degrees. • 🚀 Certification Support, including Cloud — Advance your career with certifications in key technologies such as GCP, Azure, AWS, and others. • 🎁 Livelo Points — Earn points to use as you wish with full flexibility. • 🏋️‍♂️ TotalPass — Health incentive with discounted gym plans for employees and family members. • 🧘‍♂️ Mindself — Support to improve quality of life through meditation and mindfulness.

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