Data Architecture Services Architect en Almería, España

• Opportunity to integrate into a team of professionals, committed to a project of the present and future whose collaborative and dynamic work environment will facilitate a diversity of possibilities for professional growth and development.
• Continuous training and availability of personalized itineraries.
• Possibility of flexible working day and hours, depending on the project.
• Compensation and social benefits: Flexible remuneration (Health Insurance, Childcare Vouchers, etc.), and special financial conditions.
• Support and Wellbeing programs attending to your personal needs.
• Access to various Volunteering Programs where you can get involved and leave a positive mark
• Possibility of hybrid work.
• Permanent contract in a reliable and continuously evolving project with remuneration according to your experience and value contribution.

Entity: Cajamar Tecnología

Work center: Almeria, Valencia, Madrid and Salamanca

Start date: Immediate

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We are different because we do banking for people.

What do we need from you?

Education: Computer Engineering, Telecommunications, or similar; a Master's in Big Data or Data Architecture is valued.

• More than 5 years in data architecture and model design.
• Experience in Big Data environments and relational/noSQL databases.
• Data modeling (relational, dimensional, Data Vault).
• Tools: Oracle, SQL Server, PostgreSQL, MongoDB, Hadoop, Spark.
• Cloud: Azure, AWS, or GCP (Data Lake, Synapse, Databricks).
• Data governance: Microsoft Purview, Collibra.

Languages: Advanced SQL, Python, shell.

Languages: Spanish; technical English is valuable.

• Strategic thinking and orientation toward standards.
• Ability to document and communicate complex architectures.
• Technical leadership and collaborative work.
• Orientation toward quality, scalability, and security.

At Cajamar Tecnología, we need to bring a person into the Data Architecture office.

• Describe, design, review, and normalize BCC data models.
• Maintain a single data dictionary that guarantees consistency and traceability.
• Generate models in the different Database Management Systems used by BCC.
• Define standards and best practices for data architecture in Big Data environments.
• Collaborate with development, analytics, and data governance teams to ensure consistency and quality.
• Participate in the evolution of the data strategy and in integration with corporate systems.
• Document processes and models, ensuring their alignment with internal and external regulations.
• Orientation toward automation, scalability, and performance optimization in data platforms.