Data Cloud Platform Architect
Porto
Porto, Porto District, Portugal

At Lùkla, we partner with major European organisations to design and build
- scale,
- native data platforms in highly regulated and
- 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,
- on architecture role, combining technical leadership, deep cloud data expertise, and close collaboration with engineering, security and business teams.

? Location: Porto (hybrid - 3x
- site)

Key Responsibilities:

Data Platform Architecture & Delivery

  • Design, implement and evolve scalable cloud data architectures, primarily on AWS, aligned with defined data architecture and governance frameworks.
  • Lead the creation of a
    - 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.

Data Engineering & Orchestration

  • 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
    - scale datasets using Apache Iceberg and modern lakehouse approaches.
  • Ensure efficient data integration into analytical and operational stores such as Redshift, Postgre
    SQL and Duck
    DB.
  • 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 Cloud
    Watch, Cloud
    Trail 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
    - 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 (Ia
    C) using Terraform and/or Cloud
    Formation.
  • Solid
    - 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
    - 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

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