Data Architect Lisboa

Data Architect
Lisboa
Lisboa, Lisboa, Portugal

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About Accenture Technology

Through unmatched industry experience, leading technologies from our ecosystem partners and startups, and the largest delivery network in the world, we provide a powerful range of capabilities that can be tailored to our client’s most complex business needs. With over 100 innovation hubs deployed around the world, we help clients continuously innovate at speed and at scale so they can outpace their peers. You will bring innovation, intelligence and industry experience together with the newest technologies to help clients innovate at scale and transform their businesses.

Role: Data Architect Manager

We are seeking a Data Architect Manager to lead the design and implementation of scalable,
- performance data solutions. Responsibilities include defining data requirements, structuring application data, and ensuring seamless data integration across systems. You will collaborate with
- functional teams to model and optimize data storage and retrieval, ensuring efficiency, security, and compliance.

Key Responsibilities:

• Define and implement data architecture strategies to support business and technical requirements.
• Model and design application data structures, ensuring optimal storage and integration.
• Develop and maintain data models, schemas, and documentation.
• Work closely with development teams to ensure data solutions align with application needs.
• Optimize data storage and retrieval processes for performance and scalability.
• Ensure data security, integrity, and compliance with regulatory requirements.
• Evaluate and integrate new data technologies and tools to enhance architecture efficiency.
• Collaborate with stakeholders to identify and address
  - related challenges.

Requirements:

• Proven experience in data architecture, database modeling, and design.
• Strong knowledge of data management best practices, ETL processes, and data integration techniques.
• Proficiency in relational and No
  SQL databases.
• Experience with cloud data platforms, especially AWS.
• Ability to work with large datasets and optimize data storage and processing.
• Strong analytical and
  - solving skills.
• Excellent communication and collaboration abilities.

Preferred Qualifications:

• Familiarity with big data technologies and data warehousing solutions.
• Knowledge of machine learning and AI-driven data architectures is a plus.

Additional Details:

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: IT Services and IT Consulting

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