Senior Data Architect - Financial Services (Hybrid, Madrid)

Deutsche Bank AG; Madrid; Híbrido; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid working model

Descripción de la vacante

DWS Group in Madrid is seeking a Data Architect to shape the enterprise data model and lead data ingestion, processing and governance patterns across the organization.

You will collaborate with Domain and Solution Architects, coach data engineers, and drive architectural decisions on modelling approaches, data quality and security controls.

The role requires strong data architecture skills, experience with Snowflake and traditional RDBMS, plus cloud capabilities (GCP preferred).

Formación

• Degree in Computer Science or related field.
• Minimum 5 years of experience in data engineering and architecture.
• Experience in asset management or financial industry is a plus.
• Strong data modelling and data architecture skills across models.

Responsabilidades

• Break down requirements into data models, ingest and consumption patterns.
• Coach data engineers to implement data models and patterns.
• Collaborate on architecture decisions and patterns.
• Support solution design and defend designs with stakeholders.
• Maintain the Enterprise Data Model.
• Explore new technologies and cloud deployment patterns (GCP).

Conocimientos

Data modelling

Cloud experience (GCP)

RDBMS knowledge

IAM / RBAC

AI tools usage

Data architecture

Educación

Degree in Computer Science or related field

Herramientas

Snowflake

Oracle

SQL Server

PostgreSQL

Descripción del empleo

DWS Group in Madrid is seeking a Data Architect to shape the enterprise data model and lead data ingestion, processing and governance patterns across the organization.

You will collaborate with Domain and Solution Architects, coach data engineers, and drive architectural decisions on modelling approaches, data quality and security controls.

The role requires strong data architecture skills, experience with Snowflake and traditional RDBMS, plus cloud capabilities (GCP preferred).