Data Architect

Há 3 dias

Lisboa, Lisboa, Portugal Inetum Tempo inteiro

Company Description
Inetum is a European leader in digital services. Inetum's team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum's solutions aim at contributing to its clients' performance and innovation as well as the common good.

Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility.

Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023

Job Description
We are seeking an experienced Big Data Architect to lead the design, implementation, and optimization of large-scale data platforms.

Main Tasks And 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.
  • Drive technical decisions related to data storage, processing, governance, and system integration.
  • Collaborate with engineering, analytics, and business teams to ensure data quality and availability.
  • Produce clear documentation of architectures, data flows, and technical components.

Qualifications
Technical Skills:

  • Proven experience as a Big Data Architect or 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, networking, security, and automation.
  • Strong knowledge of Big Data technologies such as Hadoop, Hive, Kafka, Delta Lake, etc.
  • Experience working 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.

Language Skills

  • English - Practice

Soft Skills

  • Good communication skills
  • Strong analytical abilities, able to have the right synthesis and all possible details at same time required soft skills
  • Adaptability skills
  • Team spirit

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