Data Cloud Platform Architect

Lùkla Portugal; Porto; Presencial; EUR 50 000 - 70 000; Tempo integral

Resumo da oferta

A leading technology consulting firm is seeking a mid-senior level Data Cloud Platform Architect in Porto. The role focuses on designing and implementing scalable cloud data architectures and leading the creation of a cloud-native data platform. Applicants should have deep expertise in AWS services and strong experience with ETL processes and data modeling. Excellent communication and a proactive approach to production monitoring are essential. This full-time position offers attractive growth opportunities in a dynamic environment.

Qualificações

• Strong experience as a Data Architect or Lead Data Engineer.
• Deep expertise in AWS data services including Glue, Redshift, Athena.
• Excellent communication skills for stakeholder management.

Responsabilidades

• Design and implement scalable cloud data architectures.
• Lead the creation of a cloud-native data platform.
• Ensure production readiness through effective monitoring.

Conhecimentos

AWS data services

Data modeling

Python

SQL

ETL processes

Apache Airflow

Infrastructure as Code (IaC)

Cloud architecture

Ferramentas

Terraform

AWS Glue

AWS Redshift

Apache Iceberg

Descrição da oferta de emprego

At Lùkla, we partner with major European organisations to design and build large-scale, cloud-native data platforms in highly regulated and business-critical environments.

We are currently looking for an experienced Data Cloud Platform Architect to play a key role in the creation and evolution of a complex data platform built from scratch, supporting advanced analytics, governance, and regulatory needs. This is a senior, hands-on architecture role, combining technical leadership, deep cloud data expertise, and close collaboration with engineering, security and business teams.

Key Responsibilities

• Design, implement and evolve scalable cloud data architectures, primarily on AWS, aligned with defined data architecture and governance frameworks.
• Lead the creation of a cloud-native data platform from the ground up, covering ingestion, processing, storage, and consumption layers.
• Define and enforce technical standards, best practices and architectural principles across data engineering initiatives.
• Translate business and regulatory requirements into robust technical solutions.
• Oversee and contribute to the design of data pipelines and ETL/ELT processes using technologies such as AWS Glue, Lambda, Step Functions and Apache Airflow.
• Support the management and optimisation of large-scale datasets using Apache Iceberg and modern lakehouse approaches.
• Ensure efficient data integration into analytical and operational stores such as Redshift, PostgreSQL and DuckDB.
• Optimise data models and queries for performance, scalability and cost.

Governance, Security & Reliability

• Lead the implementation and enforcement of data governance, security and compliance standards across the data platform.
• Ensure production readiness through monitoring, logging and tracing mechanisms using services such as CloudWatch, CloudTrail and X-Ray.
• Proactively identify risks, performance bottlenecks and improvement opportunities.

Technical Leadership

• Act as a technical reference and subject matter expert for cloud data architecture and engineering.
• Provide guidance and mentorship to data engineers and technical teams.
• Challenge requirements when needed and propose innovative, efficient and cost-effective solutions.
• Produce and maintain clear solution and technical documentation.

Required Skills & Experience

• Strong experience as a Data Architect, Data Platform Architect or Principal/Lead Data Engineer.
• Deep expertise in AWS data services, including Glue, Redshift, Athena, Lambda and Step Functions.
• Proven experience with Infrastructure as Code (IaC) using Terraform and/or CloudFormation.
• Solid hands-on skills in Python and SQL, including prototyping and setting coding standards.
• Experience with Apache Iceberg and managing large datasets at scale.
• Strong background in data modelling, ETL processes and data integration.
• Experience with orchestration tools such as Apache Airflow.
• Familiarity with Kafka or event-driven data architectures is a plus.
• Proactive mindset regarding production monitoring, troubleshooting and optimisation.
• Excellent communication skills and ability to work across multiple stakeholders.

Nice to Have

• Exposure to Azure data services, including Databricks.
• Experience in regulated or enterprise environments (finance, capital markets, insurance, etc.).
• Previous involvement in greenfield data platform initiatives.

Languages

• English — Fluent / Professional level

Job details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industries: IT Services and IT Consulting
• Location: Porto Metropolitan Area