Cloud Architect

Job not on LinkedIn

🔥 0 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 25%

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🗣️🇪🇸 Spanish Required

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Logo of Sequoia Connect

Sequoia Connect

11 - 50 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Sequoia Connect is a company that specializes in IT advisory and talent services particularly focused on digital transformation. They provide headhunting services for technology specialists, IT consulting, and recruitment process outsourcing. With operations spread across multiple countries including the USA, Mexico, India, and regions in Latin America, they connect technologists with global companies. They aim to optimize processes, reduce operating costs, and maintain high standards of technological innovation. Sequoia Connect supports digital transformation for both multinational corporations and agile startups, serving over 700 clients across 50+ countries.

📋 Description

• Design and implement robust Lakehouse and Medallion architectures with Bronze, Silver, and Gold layers • Ensure reliable, production-ready data pipelines • Troubleshoot, monitor, and tune large-scale Apache Spark jobs using caching, partitioning, and broadcast joins • Design and deploy unified governance models for enterprise data and AI assets using Unity Catalog • Implement role-based access control, row-level and column-level security, and comprehensive data lineage • Integrate Databricks with AWS, Azure, or GCP cloud ecosystems • Configure virtual networks and IAM roles, including ADLS/Entra and S3/IAM • Monitor and optimize Databricks Units (DBUs) • Right-size serverless and multi-node clusters • Implement practices to control cloud costs and maximize ROI • Use Delta Lake for ACID transactions, schema enforcement, time travel, Z-ordering, and advanced optimization

🎯 Requirements

• 5+ years of proven track record as a Cloud Architect, Principal Data Engineer, or similar role with a heavy focus on modern cloud data architectures and distributed computing • Deep, under-the-hood understanding of Databricks, Apache Spark internals, and the Lakehouse Platform • Advanced fluency in SQL • Expert-level programming skills in Python or Scala • Strong grasp of native cloud ecosystems (AWS, Azure, or GCP) regarding networking, storage, and security • Resilience, emotional intelligence, and a focus on agile delivery within high-stakes data environments • Deep understanding of architecting scalable, secure, and cost-efficient distributed systems • Advanced Oral English • Advanced Spanish • Valid Databricks Certified Data Architect or Databricks Certified Data Engineer Professional badges are highly preferred • Experience building, deploying, and monitoring GenAI applications and ML models using Databricks Model Serving, Vector Search, and the Mosaic AI suite is desired • Experience automating Databricks workflows using Git (Databricks Repos) and orchestration tools like dbt, Azure Data Factory, or Apache Airflow is desired • Familiarity with Databricks Structured Streaming and Auto Loader is desired • Understanding of Databricks SQL, Serverless Warehouses, and integration with downstream BI tools like Power BI is desired • Familiarity with cloud-native foundations or AI coding assistants is desired

🏖️ Benefits

• Fully remote • Global career opportunities and exposure to high-impact projects within an international network of expertise • Work on end-to-end digital transformation projects for global leaders • Workplace recognized as one of the most sustainable corporations in the world

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