Data Cloud Platform Architect

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

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