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A leading company is seeking an experienced Big Data Architect to design and maintain robust data platforms. The role requires proficiency in distributed systems and cloud technologies, as well as strong collaboration skills with cross-functional teams. This freelance position offers hybrid working arrangements in Madrid.
Experienced Big Data Architect with a strong background in designing, building, and maintaining large-scale data platforms. Skilled in leveraging distributed systems such as Hadoop, Spark, and Kafka, as well as cloud-based technologies like AWS, Azure, and Google Cloud, to create scalable, reliable, and secure data solutions. Adept at translating business requirements into robust technical architectures that support advanced analytics, machine learning, and real-time data processing. Design of scalable and resilient Big Data architectures.
Data ingestion, processing, and storage for structured and unstructured data at scale.
Administration of Hadoop / Spark clusters (Cloudera distribution), NoSQL databases (e.g., Cassandra, MongoDB), and cloud-native data lakes.
Deployment of cloud-based data solutions (e.g., Amazon EMR, Google BigQuery, Azure Synapse).
Data security and governance compliance (encryption, masking, GDPR, etc.).
Cross-functional collaboration with data engineers, data scientists, and business stakeholders.
Proficiency in Python, Scala, SQL, and automation of data workflows.
Cloud certifications (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer)
Knowledge of Data Engineering and data quality tools (Informatica, Talend, etc.)
Knowledge of Data Governance and Data Catalog solutions : IBM Axon, Informatica EDC, Collibra, Purview, etc.
Language : Spanish (Native), English (High Level)
Freelance Contract
Long Term Project
Location : Madrid, Hybrid
Key Skills : Big Data, Cloudera, Spanish, English
Employment Type : Full Time