Senior Enterprise Data Architect & Platform Designer

6101 ATS,S.A. Company; Estrela; Híbrido; EUR 90 000 - 150 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

Pension plan

Free medical services

Wellness programs

Education support

Share purchase plan

Udemy access

Resumo da oferta

Accenture is seeking an accomplished Enterprise Data Architect to lead and evolve large-scale data platforms across cloud environments. You will define standards, governance, and reference architectures while collaborating with C-level stakeholders to translate business needs into scalable data solutions.

You will mentor engineers, drive best practices, and oversee security/compliance within GDPR and industry regulations, while delivering resilient data architectures and data governance

Qualificações

• University degree in Computer Science, Engineering or comparable field with 10+ years of experience in data architecture, data engineering or data platforms in complex enterprise environments.
• Deep expertise in cloud data architectures, preferably Azure (Data Lake Gen2, Synapse, Purview, Azure Data Factory).
• Strong understanding of ETL frameworks and data warehousing concepts.
• Strong hands-on experience with PySpark/Apache Spark.
• Proficiency in Python and SQL.
• Strong command of data governance, data quality and master data management frameworks (e.g. DMBOK).
• Proven experience designing and delivering multi-environment, multi-domain data platforms at scale.
• Track record of engaging and influencing senior stakeholders and translating strategy into architecture.
• Experience in regulated industries (e.g. financial services, energy, utilities) is a strong plus.
• Professional English C1 level (spoken and written – mandatory); French and/or Dutch is a plus.
• Strong collaboration skills within distributed and cross-functional teams.
• Proactive mindset with a high sense of ownership and accountability.
• Structured approach to incident and problem management.
• Ability to prioritize workload efficiently in a dynamic environment.

Responsabilidades

• - Architect and evolve enterprise-scale data platforms, defining standards for data integration, storage, processing and governance across cloud environments.
• - Lead the design and implementation of end-to-end data governance frameworks, embedding quality, lineage and classification by design.
• - Engage with C-level and senior client stakeholders to translate business requirements into data architecture strategies and roadmaps.
• - Drive thought leadership on data platform trends, emerging technologies and best practices across internal and client-facing forums.
• - Mentor and guide senior and junior engineers, setting technical direction and ensuring architectural consistency across delivery teams.
• - Own the enterprise data architecture, including reference architectures, design patterns and platform standards.
• - Define governance, security and compliance principles across data platforms, ensuring alignment with regulatory requirements (e.g. GDPR, sector-specific regulations).
• - Establish data modeling standards, metadata management strategies and master data management frameworks.
• - Act as the primary escalation point for architectural decisions, platform issues and cross-team dependencies.
• - Lead architecture reviews, ensuring solutions are scalable, resilient and aligned with business and technology strategy.
• - Build and maintain trusted relationships with client architecture and technology leadership.

Conhecimentos

Data architecture

Cloud platforms

Stakeholder engagement

Leadership

Data governance

Python

SQL

ETL concepts

Formação académica

Bachelor's degree in Computer Science, Engineering or comparable field

Ferramentas

Azure Data Lake Gen2

Azure Synapse

Azure Purview

Azure Data Factory

PySpark

Apache Spark

Descrição da oferta de emprego

Accenture is seeking an accomplished Enterprise Data Architect to lead and evolve large-scale data platforms across cloud environments. You will define standards, governance, and reference architectures while collaborating with C-level stakeholders to translate business needs into scalable data solutions.

You will mentor engineers, drive best practices, and oversee security/compliance within GDPR and industry regulations, while delivering resilient data architectures and data governance