Senior Data Architect

BBVA; Zürich; Vor Ort; CHF 150.000 - 230.000; Vollzeit

Zusammenfassung

BBVA seeks a Senior Data Architect to lead the enterprise data architecture for analytics and operations, with a strong focus on Microsoft Azure and Fabric. The role is purely technical and requires deep engineering and architecture depth.

You will partner with data engineering, analytics, security and platform teams to design scalable, governed, cost-efficient data solutions covering ingestion, storage, semantic modeling and BI consumption using Power BI.

Qualifikationen

• 8+ years of experience in data engineering / analytics engineering / data platform roles, with 3+ years as Data Architect or in architecture ownership on enterprise-scale platforms.
• Knowledge of Azure data services and architecture patterns (e.g., ADLS Gen2, Synapse, Data Factory, Event Hubs, Databricks).
• Hands-on with Microsoft Fabric at production scale: OneLake, Lakehouse/Warehouse, Spark, Data Pipelines/Dataflows Gen2, semantic models, and governance.

Aufgaben

• Define target data architecture, standards and reference patterns for Azure and Microsoft Fabric (Lakehouse/Warehouse, semantic models, data products).
• Design end-to-end data solutions: ingestion, orchestration, transformation, storage and serving layers.
• Own conceptual, logical and physical data models; drive canonical models, dimensional models and domain-oriented data products.
• Establish governance-by-design: data classification, lineage, quality controls, metadata management and stewardship processes.
• Define security and access patterns (RBAC/ABAC), encryption and network isolation for data platforms, partnering with IAM and security teams.
• Guide implementation choices across Azure data services and Fabric capabilities, balancing performance, cost, resiliency and operability.
• Collaborate with the rest of the Engineering team to define pipelines, testing strategies, CI/CD and release governance for data assets.
• Drive adoption of best practices for semantic modeling and BI consumption (Power BI semantic models).
• Provide architectural leadership in design reviews, documenting decisions and producing technical evidence to support compliance needs.

Kenntnisse

Azure data services

Microsoft Fabric

Power BI

SQL

Data modeling

Data governance

Metadata & lineage tooling

Terraform/Bicep

CI/CD for data assets

Infra as Code

Ausbildung

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems or a related technical field

Tools

Azure Data Factory

Synapse

Event Hubs

Databricks

Purview

Jobbeschreibung

Excited to grow your career?

BBVA is a global company with more than 160 years of history that operates in more than 25 countries where we serve more than 80 million customers. We are more than 121,000 professionals working in multidisciplinary teams with profiles as diverse as financiers, legal experts, data scientists, developers, engineers and designers.

Excited to grow your career?

BBVA is a global company with more than 160 years of history that operates in more than 25 countries where we serve more than 80 million customers. We are more than 121,000 professionals working in multidisciplinary teams with profiles as diverse as financiers, legal experts, data scientists, developers, engineers and designers.

About the job:

As a Senior Data Architect, you will provide hands-on technical leadership defining and evolving the enterprise data architecture for analytical and operational use cases, with a strong focus on Microsoft Azure and Microsoft Fabric. You will partner with data engineering, analytics, security and platform teams to design scalable, governed and cost-efficient solutions - covering ingestion, transformation, storage, semantic modeling and consumption - ensuring data is trusted, secure and accessible. This role is purely technical and requires strong engineering and architecture depth.

Functions (duties and responsibilities):

• Define target data architecture, standards and reference patterns for Azure and Microsoft Fabric (Lakehouse/Warehouse, semantic models, data products).
• Design end-to-end data solutions: ingestion, orchestration, transformation, storage and serving layers, aligning with business and regulatory requirements.
• Own conceptual, logical and physical data models; drive canonical models, dimensional models and domain-oriented data products.
• Establish governance-by-design: data classification, lineage, quality controls, metadata management and stewardship processes.
• Define security and access patterns (RBAC/ABAC), encryption and network isolation for data platforms, partnering with IAM and security teams.
• Guide implementation choices across Azure data services and Fabric capabilities, balancing performance, cost, resiliency and operability.
• Collaborate with the rest of the Engineering team to define pipelines, testing strategies, CI/CD and release governance for data assets.
• Drive adoption of best practices for semantic modeling and BI consumption (e.g., Power BI semantic models), ensuring consistency and reusability.
• Provide architectural leadership in design reviews, documenting decisions and producing technical evidence to support compliance needs.

Your profile:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems or a related technical field.
• 8+ years of experience in data engineering / analytics engineering / data platform roles, with 3+ years acting as Data Architect or in an architecture ownership capacity on enterprise-scale platforms.
• Knowledge of Azure data services and architecture patterns (e.g., ADLS Gen2, Synapse, Data Factory, Event Hubs, Databricks) and the ability to select the right components for each use case, considering security, resiliency and cost.
• Hands-on experience with Microsoft Fabric at production scale: OneLake, Lakehouse/Warehouse, Spark, Data Pipelines/Dataflows Gen2, semantic models, and workspace/tenant governance (including capacity considerations).
• Excellent SQL skills; experience with data modeling (dimensional, 3NF, Data Vault) and performance tuning for analytical workloads.
• Solid understanding of data governance, data quality, metadata/lineage, and privacy/security controls in regulated environments.
• Experience with metadata, cataloging and lineage tooling (e.g., Microsoft Purview) and with defining standards for documentation and discoverability.
• Strong engineering practices: version control, CI/CD for data assets, and Infrastructure as Code (e.g., Terraform/Bicep) to provision and operate Azure/Fabric data platforms.
• Experience defining architecture for integration patterns (batch, streaming, CDC, APIs) and designing scalable ingestion frameworks.
• Ability to read, understand and challenge technical designs, balancing business outcomes, time-to-market and long-term maintainability.
• Excellent command of English and Spanish (German is a plus).

The ideal candidate has experience in:

• Defining data architecture roadmaps and target operating models for modern analytics platforms (lakehouse) on Azure/Microsoft Fabric.
• Designing governed data products, including ownership, SLAs, quality rules and documentation.
• Semantic modeling for self-service BI and enterprise reporting (Power BI), including shared datasets/semantic models and reusable metrics.
• Implementing security patterns for data platforms (workspace/tenant governance, RLS/OLS, private connectivity) and aligning with IAM policies.
• Performance and cost optimization for large-scale analytical workloads (capacity planning, partitioning, incremental processing, caching).
• Working in agile, multidisciplinary teams, leading architecture discussions and mentoring engineers on data design best practices.

Skills:

Arquitectura de datos empresariales, Idioma español, Idioma inglés, Microsoft Azure, Modelado de datos