Data Architect — Build Scalable, Impactful Platforms

SDG Group España; Portugal; Presencial; EUR 60 000 - 90 000; Tempo integral

Resumo da oferta

SDG Group España is seeking Data Architects to join their Data Technologies team, shaping scalable architectures across Big Data, Cloud, and Data Management initiatives. You will collaborate with cross-functional teams and stakeholders to translate business needs into practical architecture solutions.

You'll contribute to data platforms emphasizing security, governance, and data-as-a-product approaches, while staying current with emerging trends and technologies in the data space.

Qualificações

• Background in Computer Engineering, Telecommunications, Mathematics, Physics, or related field.
• Experience in data architecture design in business environments as Big Data/Cloud/Data Architect.
• Technologies: Snowflake, dbt, Spark, Python, SQL, Databricks, Airflow, Kafka; AWS/Azure/GCP.
• Ability to translate business needs into scalable architecture solutions.
• Excellent collaboration with technical and business stakeholders.
• English working level for international collaboration.

Responsabilidades

• Design scalable data architectures aligned with business goals.
• Define standards for data management, integration, and use.
• Contribute to modern data platforms focusing on security and efficiency.
• Support digital transformation initiatives and data product thinking.
• Collaborate with cross-functional teams to translate needs into practical solutions.
• Promote data quality, governance, and continuous improvement.
• Stay up-to-date with data and analytics trends.

Descrição da oferta de emprego

SDG Group España is seeking Data Architects to join their Data Technologies team, shaping scalable architectures across Big Data, Cloud, and Data Management initiatives. You will collaborate with cross-functional teams and stakeholders to translate business needs into practical architecture solutions.

You'll contribute to data platforms emphasizing security, governance, and data-as-a-product approaches, while staying current with emerging trends and technologies in the data space.