Data Architect

Findmore Consulting, S.A.; Porto; On-site; EUR 70,000 - 110,000; Full time

Job summary

Findmore Consulting S.A. in Porto seeks a Senior Data Architect to define and maintain the aftermarket data architecture. You will steer cross‑domain teams, collaborate with analysts to shape data products, and enforce standards for the Analytics Platform.

You will define data modeling, integration, and governance to ensure compliance and scalable design across regions. The role requires cloud platform expertise, strong security awareness, and English fluency.

Qualifications

• 7+ years of proven experience as a Data Architect.
• 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.
• Fluency in English (mandatory)

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.

Skills

Data architecture

Cloud platforms

Data modeling

Data governance

DevOps & CI/CD

Security & compliance

English fluency

Tools

Databricks

Synapse

Data Lake

Purview

ADF

PySpark

Qlik

Job description

Findmore Consulting S.A. is a company specialized in Information Technologies founded in 2006 and with more than 400 consultants.

Our services include infrastructure and cloud, software development and agility where contribute to major projects in Portugal and Europe. We're looking for talented, purpose-driven people to join our teams!

Main Tasks & 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.

Requirements

• 7+ years of proven experience as a Data Architect
• 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.
• Fluency in English (mandatory)

Other Requirements

• Ability to simplify complex problems and obtain a workable solution;