Data Architect

Decision; Porto; Híbrido; EUR 70 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work model

Office in Porto

Resumo da oferta

Decision seeks an experienced Data Architect to define and maintain the Aftermarket-wide data architecture, guiding domain data teams toward coherent, reusable designs. You will collaborate with Business Data Analysts to shape data products, KPIs, and interfaces, ensuring scalable and cost-efficient architectures.

You will drive governance, data modeling standards, and tool adoption across the Aftermarket, coordinating stakeholders in a hybrid Porto-based role.

Qualificações

• 7+ years of proven Data Architect experience.
• Strong understanding of modern data architectures.
• Ability to translate business strategy and domain needs into architectural blueprints.
• Deep knowledge of data modeling, lineage, and governance principles.
• Strong leadership across agile data teams.
• Experience defining platform standards, data ownership models, and data lifecycle processes.

Responsabilidades

• Define and maintain the Aftermarket-wide data architecture and target design principles.
• Steer and align multiple domain data teams to ensure architectural coherence and reuse.
• Collaborate with Business Data Analysts to define data product structures, KPIs, and interfaces.
• Define and enforce data modeling, integration, and quality standards for the Aftermarket Analytics Platform (AAP).
• Act as primary interface to data architecture and governance to ensure compliance and synergy.
• Evaluate and introduce new tools, frameworks, and best practices supporting data efficiency and innovation.
• Provide architectural guidance in ongoing projects to ensure scalable and cost-efficient design.
• Promote unified, business-oriented data architecture across all Aftermarket regions and functions.

Conhecimentos

Data Architecture

Data Modeling

Data Governance

Leadership

Stakeholder Alignment

Agile Data Teams

Cost Optimization

Ferramentas

Databricks

Azure Synapse

Data Lake

Purview

ADF

PySpark

Synapse Pipelines

Qlik

Descrição da oferta de emprego

Responsibilities

• Define and maintain the Aftermarket-wide data architecture and target design principles.
• Steer and align multiple domain data teams to ensure architectural coherence and reuse.
• Collaborate with Business Data Analysts to define data product structures, KPIs, and interfaces.
• Define and enforce data modeling, integration, and quality standards for the Aftermarket Analytics Platform (AAP).
• Act as primary interface to data architecture and governance to ensure compliance and synergy.
• Evaluate and introduce new tools, frameworks, and best practices supporting data efficiency and innovation.
• Provide architectural guidance in ongoing projects to ensure scalable and cost-efficient design.
• Promote unified, business-oriented data architecture across all Aftermarket regions and functions.

Years of experience

• 7+ years of proven experience as a Data Architect.

Functional Skills

• Strong understanding of modern data architectures.
• Ability to translate business strategy and domain needs into architectural blueprints.
• Deep knowledge of data modeling, lineage, and governance principles.
• Strong leadership and coordination skills across multiple agile data teams.
• Experience in defining platform standards, data ownership models, and data lifecycle processes.
• Skilled in aligning cross-organizational stakeholders (Aftermarket, central IT, and Group Data).

Technical Skills

• Profound expertise in Cloud Data Platform components (Databricks, Synapse, Data Lake, Purview).
• Advanced knowledge in data modeling (Data Vault, Dimensional, Canonical Models).
• Experience with pipeline orchestration and integration (ADF, PySpark, Synapse Pipelines, Qlik...).
• Understanding of data governance and metadata management.
• Familiarity with DevOps, CI/CD, Infrastructure-as-Code, and cost/performance optimization.
• Awareness of data security, compliance, and regulatory requirements in a corporate environment.

Soft Skills

• Strong communicator and facilitator between business, IT, and central data organizations.
• Strategic thinker with the ability to translate vision into actionable standards.
• High ownership for architectural integrity and data quality across the Aftermarket.
• Collaborative leadership style fostering alignment and knowledge exchange.
• Pragmatic, hands-on approach combined with conceptual strength.
• Curiosity for new technologies and a continuous improvement mindset.

Language: English (Mush have) and Portuguese (Nice to have).

Sector: Automotive Tech

Location: Porto

Work model: Hybrid (2x/week in the office)

Regime de trabalho híbrido.