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Compass

Data Architect, AWS, Databricks

Compass

Data Architect focusing on AWS and Databricks for comprehensive cloud migrations and data architecture evolution at Compass UOL.

Posted 6/18/2026full-timeRemote • BrasilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AirflowAWSAzureCloudETLNoSQLPythonSQLUnity

About the role

Key responsibilities & impact
  • Perform the complete migration of the current environment, today hosted on Databricks on Azure, to AWS, including creating a new data model and restructuring legacy pipelines and routines;
  • Define and evolve the Corporate Data Platform architecture (Lakehouse);
  • Ensure adherence to the target model based on AWS + Databricks;
  • Define architecture standards, frameworks and best practices;
  • Drive the definition of the migration strategy (waves, prioritization, dependencies);
  • Migration and Modernization: Lead the modernization of the legacy Data Warehouse (Azure/DataStage → AWS/Databricks);
  • Define migration approaches: Incremental vs Big Bang;
  • Ensure operational continuity during the transition;
  • Governance & Security: Define and implement standards for: Data governance/Access control/Data quality and lineage;
  • Ensure compliance with corporate policies and LGPD (Brazilian data protection law);
  • DataOps & Standardization: Structure standardized and reusable pipelines;
  • Implement best practices for CI/CD for data;
  • Reduce dependence on manual processes and low standardization;
  • Integration and Ecosystem: Design integrations with multiple sources and on-premises systems;

Requirements

What you’ll need
  • Experience with Cloud & AWS Platform, S3, Glue, IAM, Lake Formation, CloudWatch, CloudTrail;
  • Experience with Databricks: Unity Catalog, Delta Lake, notebooks, clusters and policies;
  • Knowledge of modern Lakehouse-based architecture;
  • Experience with data modeling (DW, Lakehouse – Bronze/Silver/Gold);
  • Experience with data pipelines (ETL/ELT);
  • Experience with: advanced SQL, Python, tools such as: Airflow / Control-M / distributed orchestration;
  • Experience with ADF / DataStage (legacy);
  • Experience with CI/CD for data (Azure DevOps, Git, pipelines);
  • Experience with Data Quality, Data Contracts, Data Lineage;
  • Experience with data catalog and corporate governance;
  • Experience with security and compliance (LGPD, access control, sensitive data);
  • Knowledge of integration with multiple sources: APIs, relational databases, NoSQL, mainframe;
  • Experience in distributed and domain-driven architecture;
  • Migration strategies: Replatform, Refactor, Rewrite;
  • Knowledge of monitoring (Datadog, CloudWatch);
  • Definition of SLAs/SLOs;
  • Experience troubleshooting critical pipelines;

Benefits

Comp & perks
  • 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Compass Website LinkedIn All Job Openings 10,000+ employees 🏠 Real Estate 📱 Media Real Estate
  • Media Compass is a real-estate-focused content and services site that provides detailed market analysis, buying/selling/renting guides, mortgage and financing information, and home improvement and renovation advice. The site offers resources for homebuyers, sellers, renters, agents, and real estate investors — including articles on appraisals, affordable housing, investment strategies, staging and property maintenance. Compass aims to help users make informed decisions across the housing lifecycle through timely market updates and practical how-to content. Data Architect, AWS, Databricks Job not on LinkedIn 🔥 1 hour ago ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer 🗣️🇧🇷🇵🇹 Portuguese Required Airflow AWS Azure Cloud ETL NoSQL Python SQL Unity Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
  • Perform the complete migration of the current environment, today hosted on Databricks on Azure, to AWS, including creating a new data model and restructuring legacy pipelines and routines;
  • Define and evolve the Corporate Data Platform architecture (Lakehouse);
  • Ensure adherence to the target model based on AWS + Databricks;
  • Define architecture standards, frameworks and best practices;
  • Drive the definition of the migration strategy (waves, prioritization, dependencies);
  • Migration and Modernization: Lead the modernization of the legacy Data Warehouse (Azure/DataStage → AWS/Databricks);
  • Define migration approaches: Incremental vs Big Bang;
  • Ensure operational continuity during the transition;
  • Governance & Security: Define and implement standards for: Data governance/Access control/Data quality and lineage;
  • Ensure compliance with corporate policies and LGPD (Brazilian data protection law);
  • DataOps & Standardization: Structure standardized and reusable pipelines;
  • Implement best practices for CI/CD for data;
  • Reduce dependence on manual processes and low standardization;
  • Integration and Ecosystem: Design integrations with multiple sources and on-premises systems; 🎯 Requirements
  • Experience with Cloud & AWS Platform, S3, Glue, IAM, Lake Formation, CloudWatch, CloudTrail;
  • Experience with Databricks: Unity Catalog, Delta Lake, notebooks, clusters and policies;
  • Knowledge of modern Lakehouse-based architecture;
  • Experience with data modeling (DW, Lakehouse – Bronze/Silver/Gold);
  • Experience with data pipelines (ETL/ELT);
  • Experience with: advanced SQL, Python, tools such as: Airflow / Control-M / distributed orchestration;
  • Experience with ADF / DataStage (legacy);
  • Experience with CI/CD for data (Azure DevOps, Git, pipelines);
  • Experience with Data Quality, Data Contracts, Data Lineage;
  • Experience with data catalog and corporate governance;
  • Experience with security and compliance (LGPD, access control, sensitive data);
  • Knowledge of integration with multiple sources: APIs, relational databases, NoSQL, mainframe;
  • Experience in distributed and domain-driven architecture;
  • Migration strategies: Replatform, Refactor, Rewrite;
  • Knowledge of monitoring (Datadog, CloudWatch);
  • Definition of SLAs/SLOs;
  • Experience troubleshooting critical pipelines; Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Mid-level Data Engineer 🕒 Yesterday Domo Inovação 51 - 200 🏦 Banking 🏢 Enterprise Website LinkedIn All Job Openings Data Engineer position at Domo, innovation hub of Banco Mercantil. Involved in data pipeline development and maintenance for critical banking infrastructure. ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer 🗣️🇧🇷🇵🇹 Portuguese Required ETL Kafka NoSQL Numpy Pandas PySpark Python Spark SQL Engenheiro de Dados, Pleno 🕒 June 8 Extractta 201 - 500 Website LinkedIn All Job Openings Engenheiro(a) de Dados Pleno na Extractta, desenvolvendo soluções de dados para projetos estratégicos e escaláveis. Atuando em engenharia de dados com foco em pipelines, qualidade e governança. ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer 🗣️🇧🇷🇵🇹 Portuguese Required Airflow Apache AWS Cloud Kafka Kubernetes PySpark SQL Data Architect – Modeling Focus 🕒 June 5 SysMap Solutions 1001 - 5000 Website LinkedIn All Job Openings Data Architect developing scalable data models for analytics and business transformation at Triggo.ai. Collaborating with modern data architecture and business requirements. ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer 🗣️🇧🇷🇵🇹 Portuguese Required BigQuery Cloud Google Cloud Platform SQL Vault Senior Data Engineer - AWS 🕒 June 2 Leega 201 - 500 🔌 API 🤖 Artificial Intelligence Website LinkedIn All Job Openings Senior Data Engineer at Leega focused on AWS cloud data solutions and Databricks. Leading migration and data architecture projects while ensuring performance and governance. ⏰ Full Time 🟠 Senior 🚰 Data Engineer 🗣️🇧🇷🇵🇹 Portuguese Required Airflow Apache AWS Cloud Kafka PySpark Python Spark Unity Senior Data Engineer 🕒 April 30 Minsait 10,000+ employees 🤖 Artificial Intelligence 🔒 Cybersecurity 🏢 Enterprise Website LinkedIn All Job Openings Senior Data Engineer at Minsait developing scalable data pipelines in cloud environments. Collaborating with teams to ensure data integration and architecture development. ⏰ Full Time 🟠 Senior 🚰 Data Engineer 🗣️🇧🇷🇵🇹 Portuguese Required Amazon Redshift Apache AWS Cloud ETL Python Scala Spark SQL Unity View More Data Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools
AWSDatabricksdata modelingETLELTadvanced SQLPythonCI/CDdata qualitydata lineage
Soft Skills
leadershipcommunicationorganizationalstrategic planningproblem-solving