Senior Data Architect

1 semana atrás

Lisboa, Lisboa, Portugal act digital EMEA - Alter Solutions Tempo inteiro

We are looking for an experienced
Data Architect
to drive the design and evolution of large-scale data platforms within a large-scale project in the financial sector.

This is a strategic and highly technical role, with strong impact on the definition and implementation of scalable, high-performance data solutions.

Main Responsibilities:

  • Design and implement scalable, resilient, and secure Big Data architectures.
  • Configure and manage distributed environments (on-premises or cloud) for large-scale data processing.
  • Develop and maintain data pipelines using
    Apache Airflow
    , including complex DAG design, monitoring, and CI/CD best practices.
  • Build and optimize batch and streaming applications using
    Apache Spark
    .
  • Lead technical decision-making regarding data storage, processing, governance, and system integration.
  • Collaborate with engineering, analytics, and business teams to ensure data quality, availability, and consistency.
  • Produce clear and structured documentation of architectures, data flows, and technical components.

Technical Skills:

  • Proven experience as a
    Big Data Architect
    or in a similar senior technical role.
  • Strong expertise in
    Apache Spark
    (PySpark, SQL, performance tuning).
  • Solid hands-on experience with
    Apache Airflow
    (DAGs, operators, sensors).
  • Deep understanding of distributed systems, clusters, containerization, and orchestration (Kubernetes is a plus).
  • Experience configuring
    Linux
    environments, including networking, security, and automation.
  • Strong knowledge of Big Data technologies such as
    Hadoop, Hive, Kafka, Delta Lake
    , etc.
  • Experience with cloud platforms (AWS, Azure, or GCP).
  • Strong analytical and problem-solving skills with a focus on scalable solution design.

Nice to Have:

  • Experience with microservices-based architectures.
  • Familiarity with CI/CD tools (GitLab, Jenkins, Argo).
  • Knowledge of relational and NoSQL databases.

Soft Skills:

  • Strong communication skills.
  • Ability to balance analytical detail with high-level synthesis.
  • Adaptability in dynamic environments.
  • Team spirit.
  • Client-focused mindset.

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