Allianz

15 hours ago

Data Architect (m/f/d) (Barcelona, B, ES, 08005)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Define and govern modern data architectures across data platforms, data products, data governance, and AI integration. Create architecture standards, blueprints, and reference architectures aligned to Group Data strategy, translating complex topics into actionable guidance. Design end-to-end data flows from ingestion to consumption (BI, analytics, AI), standardize Azure-based platforms, and define integration patterns for catalog/lineage/governance tooling, ensuring AI-ready data products and responsible AI principles.

Location: Barcelona

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Define and maintain architecture standards, blueprints, and reference architectures aligned with Group Data strategy, producing actionable documentation for engineering and data teams.
•Design modern data platform architectures (lakehouse, data mesh, self-service data platforms) and translate complex architecture topics into consumable guidance.
•Define end-to-end data flows from ingestion to consumption (BI, analytics, AI), standardize Azure-based data platforms, and define integration patterns for catalog/lineage/governance tooling.
•Define monitoring/telemetry patterns for data reliability and compliance and set standards for data products, including data contracts, quality controls, and lifecycle management.
•Provide architectural patterns for integrating data platforms with AI/ML and GenAI, ensuring data products are AI-ready and delivering architectural guidance to engineering teams and stakeholders.

Pay and Benefits

Perks:Annual BonusPensionEquityHealth InsuranceParental LeaveLearning Budget

Key Requirements

•University degree in Data Science, Data Engineering, Computer Science, Mathematics, Statistics, or related field (or equivalent experience) plus 5–8 years in data architecture, data engineering, or enterprise architecture.
•Strong command of modern data platform architectures such as Data Mesh, Data Lakehouse, medallion architecture, and event-driven patterns.
•Experience designing and governing Data Products (data contracts, output ports, semantic versioning, quality gates, lineage) and applying enterprise data governance frameworks (DAMA-DMBOK, TOGAF or equivalent).
•Understanding of regulatory data requirements for financial services/insurance (DORA, IFRS 17, Solvency II awareness) and experience with Open Table Formats (Delta Lake, Apache Iceberg).
•Experience with data cataloguing and governance tooling (e.g., Informatica IDMC, Unity Catalogue) and integration standards/APIs (REST, OpenAPI), including event streaming (Kafka/AsyncAPI).

Experience:5-8 yearsInsuranceFinancial servicesData platformsData governanceCloud-nativeAzureAI/MLGenAI

Education:Bachelor's

Skills:Written communicationArchitectural documentationCollaboration

Tech Stack:AzureDatabricksMicrosoft FabricData MeshData LakehouseMedallion architectureDelta LakeApache IcebergInformatica IDMCUnity CatalogueRESTOpenAPIMCP (Model Context Protocol)KafkaAsyncAPIBIAI/MLGenAI

Company Brief

Allianz

Global insurance and financial services group offering property-casualty insurance, life and health insurance, asset management, and corporate risk solutions to individuals, businesses, and institutions across more than 70 countries.

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Munich, Germany

Founded: 1890

Website LinkedIn

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Allianz

15 hours ago

Data Architect (m/f/d) (Barcelona, B, ES, 08005)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: Barcelona

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Define and maintain architecture standards, blueprints, and reference architectures aligned with Group Data strategy, producing actionable documentation for engineering and data teams.
•Design modern data platform architectures (lakehouse, data mesh, self-service data platforms) and translate complex architecture topics into consumable guidance.
•Define end-to-end data flows from ingestion to consumption (BI, analytics, AI), standardize Azure-based data platforms, and define integration patterns for catalog/lineage/governance tooling.
•Define monitoring/telemetry patterns for data reliability and compliance and set standards for data products, including data contracts, quality controls, and lifecycle management.
•Provide architectural patterns for integrating data platforms with AI/ML and GenAI, ensuring data products are AI-ready and delivering architectural guidance to engineering teams and stakeholders.

Pay and Benefits

Perks:Annual BonusPensionEquityHealth InsuranceParental LeaveLearning Budget

Key Requirements

•University degree in Data Science, Data Engineering, Computer Science, Mathematics, Statistics, or related field (or equivalent experience) plus 5–8 years in data architecture, data engineering, or enterprise architecture.
•Strong command of modern data platform architectures such as Data Mesh, Data Lakehouse, medallion architecture, and event-driven patterns.
•Experience designing and governing Data Products (data contracts, output ports, semantic versioning, quality gates, lineage) and applying enterprise data governance frameworks (DAMA-DMBOK, TOGAF or equivalent).
•Understanding of regulatory data requirements for financial services/insurance (DORA, IFRS 17, Solvency II awareness) and experience with Open Table Formats (Delta Lake, Apache Iceberg).
•Experience with data cataloguing and governance tooling (e.g., Informatica IDMC, Unity Catalogue) and integration standards/APIs (REST, OpenAPI), including event streaming (Kafka/AsyncAPI).

Experience:5-8 yearsInsuranceFinancial servicesData platformsData governanceCloud-nativeAzureAI/MLGenAI

Education:Bachelor's

Skills:Written communicationArchitectural documentationCollaboration

Company Brief

Allianz

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Munich, Germany

Founded: 1890

Website LinkedIn