LUZA Group

Data Cloud Architect

LUZA Group

contract

Posted on:

Location Type: Hybrid

Location: Porto • 🇵🇹 Portugal

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Job Level

SeniorLead

Tech Stack

AirflowAmazon RedshiftApacheAWSCloudETLPostgresPythonSQLTerraform

About the role

  • Design and implement scalable, secure, and cost-efficient data architectures primarily on AWS
  • Lead data engineering and cloud platform projects, from concept to production
  • Develop and enforce data governance and security standards across platforms
  • Build and optimize data pipelines, ETL processes, and orchestration workflows using tools such as Apache Airflow, AWS Step Functions, Lambda, and Glue
  • Use Infrastructure as Code (Terraform, CloudFormation) for platform deployment and management
  • Apply hands-on coding in Python and SQL to prototype solutions and set technical standards
  • Ensure performance optimization for large datasets and manage Iceberg tables, Redshift, DuckDB, and PostgreSQL
  • Collaborate with cross-functional teams and act as a technical leader and mentor.

Requirements

  • Degree in Computer Science, Engineering, or related field
  • 10+ years of experience in cloud data engineering and architecture
  • Deep expertise in AWS data services (Glue, Redshift, Lambda, Step Functions)
  • Proven experience with Infrastructure as Code (Terraform, CloudFormation)
  • Strong hands-on skills in Python and SQL
  • Experience in data governance, security, and compliance
  • Background in large-scale data migrations and platform optimizations
  • Excellent communication, leadership, and problem-solving skills
  • Experience in European corporate environments, preferably within large-scale, regulated organizations
  • English profissional level (minimum B2 level)
Benefits
  • Important : Our company does not sponsor work visas or work permits. All applicants must have the legal right to work in the country where the position is based. Only candidates who meet the required qualifications and match the profile requested by our clients will be contacted.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data architecturedata engineeringETL processesdata pipelinesInfrastructure as CodePythonSQLperformance optimizationdata governancedata security
Soft skills
leadershipcommunicationproblem-solvingmentoring