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Lead Data Architect

Xcede
London
8 months ago
Applications closed

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Lead Data Architect

London office x3 days per week

Up to £130,000 Salary


OVERVIEW

As the Lead Data Architect, you will be responsible for designing and implementing the overall data architecture strategy for our organization. This role requires a deep understanding of data modeling, cloud platforms, and big data technologies, combined with a strategic mindset to support our business goals in the rapidly evolving financial services industry.

YOUR RESPONSIBILITIES:

The Data Architect's responsibilities will include, but not be limited to:

  • Lead the design and implementation of scalable, secure, and high-performance data architectures for both structured and unstructured data.
  • Work with business stakeholders and technical teams to understand data needs and translate them into actionable data solutions.
  • Develop and maintain best practices for data modeling, ETL processes, data governance, and data quality.
  • Lead the migration of legacy systems to modern cloud-based platforms (e.g., AWS, Azure, Google Cloud).
  • Define and enforce data security standards and protocols to ensure compliance with financial industry regulations.
  • Oversee the development of data pipelines, data lakes, and data warehouses, ensuring they are optimized for real-time and batch processing.
  • Mentor and guide junior architects and engineers, fostering a culture of innovation and continuous learning.
  • Stay up-to-date with emerging data technologies and trends, recommending new tools and techniques to enhance the company’s data capabilities.

YOUR SKILLS & EXPERIENCE

A successful Data Architect will have the following:

  • Extensive experience with cloud platforms (AWS, Azure, Google Cloud) and big data technologies (Hadoop, Spark, Kafka, etc.).
  • Strong expertise in data modeling, ETL processes, data warehousing, and data governance.
  • In-depth knowledge of financial services regulations and compliance requirements (e.g., GDPR, PCI-DSS, SOX).
  • Proven experience designing and implementing end-to-end data solutions, including data lakes, data warehouses, and real-time data streaming architectures.

HOW TO APPLY

Please register your interest by sending your CV to for more info!

This role does not offer sponsorship!

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