Data Architect

• A ground-up construction project, with strategic weight and real decision-making capacity over the data architecture of the entire company.

• A team with a high technical level and international scope.

• Offices in the Recoletos area, Madrid, with a hybrid model and flexibility agreed upon on a case-by-case basis.

• Competitive salary range, adjusted to the level and experience of each candidate.

• Solid experience in data modeling, with mastery of dimensional and relational techniques: normalization (3NF), star schema, snowflake schema, and Data Vault 2.0.

• Real experience designing on traditional relational databases: Oracle, SQL Server, or PostgreSQL.

• Ability to take a model from its logical phase to its physical implementation.

• Understanding of batch, streaming, and event-oriented architectures.

• A pattern-oriented mindset: the ability to design reusable solutions rather than just solving the problem of the day.

• A hands-on profile. We are not looking for a PowerPoint architect: the person who designs must be able to dive into the details and support the implementation.

• Professional English, as it is the working language with international teams.

• Experience with Snowflake and dbt, which are the central pieces of modeling in the company.

• Experience with Google Cloud, towards which the platform is migrating.

• Having worked in banking, insurance, or asset management, and knowing the regulatory environment of a financial entity.

• Experience with Terraform and automation practices.

At Q-tech, we are looking for a Data Architect for an international client: the fund manager of one of the main European banking groups, with nearly one trillion euros in assets under management and very ambitious growth objectives through 2028.

The company is building its architecture hub in Madrid from the ground up. The global architecture function is only a year and a half old, so this is not about maintaining something that already exists, but about defining the data architecture of a large-scale asset manager practically from the beginning: there are processes to automate, patterns to establish, and models to design. The environment combines the backing and solidity of a large banking group with a way of working much closer to that of a startup.

This position is one of the team's three strategic priorities at this moment, with real visibility and influence over how everything is built.

The hub will initially work at a local level, with the intention that what is defined here will later be adopted globally.

The selected person will be responsible for the company's corporate data model. In their day-to-day, they will be in charge of:

• Gathering functional and non-functional business requirements and translating them into the appropriate data model, deciding how information is ingested, how it is modeled, and how it is consumed.

• Making design decisions: what is resolved with a star schema and what with Data Vault, how the logical model is structured, and how it is translated into the physical model.

• Being the owner of the Enterprise Data Model, defining the patterns and architecture decisions that will later be applied across the entire organization, in collaboration with the Domain Architects.

• Defending designs before the Design Council and the Security Council prior to implementation.

• Providing direct coaching to the data engineers who take the models into production.

• Evaluating new technologies and defining usage criteria for the rest of the organization.