Big Data Architect

Are you a seasoned Data Architect with a passion for modernising complex data ecosystems?

Do you thrive in a dynamic, fast-paced environment where your expertise can shape the future of enterprise data platforms? If so, this is your opportunity to make a significant impact with a world-renowned organisation based in the heart of London.

Our client, a top-tier risk management and insurance advisory firm operating across over 130 countries, is embarking on a transformative strategic initiative. They are building and scaling a next-generation, cloud-native enterprise data ecosystem designed to revolutionise their data capabilities. This ambitious project aims to modernise legacy data estates into scalable architectures like Data Lakehouse or Data Mesh, creating a secure, high-performance, and trusted data foundation.

The new platform will seamlessly integrate vast datasets from internal trading systems, London Market platforms, and third-party providers to enable advanced analytics, AI, and real-time decision-making.

Responsibilities

• Lead the design and implementation of a scalable, cloud-native data platform, serving as the technical authority and guiding the team through architectural decisions.
• Develop conceptual, logical, and physical data models that accurately represent complex insurance workflows, including risk placement, policy lifecycle, claims, and reinsurance.
• Architect and build robust data ingestion and integration pipelines (batch, streaming, API-based), ensuring high availability and performance.
• Drive platform engineering, leveraging modern cloud technologies (AWS, Snowflake, Databricks, Azure Synapse) to deliver scalable and reliable solutions.
• Collaborate closely with business stakeholders, data engineers, and analytics teams to translate industry needs into innovative technical solutions.
• Establish and maintain data governance, security, and compliance standards aligned with GDPR and industry best practices.

Requirements

• 7+ years of proven experience as a Data Architect, Lead Data Engineer, or senior technical role within a complex, global enterprise.
• Deep domain knowledge of the Insurance, Reinsurance, or Broking sectors, with a strong understanding of London Market operations, policy & claims lifecycle, and industry data standards such as ACORD.
• Hands-on experience designing and implementing modern data architectures on cloud platforms, especially AWS, Snowflake, Databricks, or Azure.
• Advanced programming skills in SQL, Python, or Scala.
• Extensive experience with data modelling methodologies, including Data Vault, dimensional, and 3NF models.
• Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders and executive leadership.
• Comfortable working onsite (hybrid) at the client’s central London office.

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office

About Us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation.

A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience.

Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

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