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AND Digital

Builds and scales customer software teams

Data Architect - Snowflake

Data ManagementPosted on Nov 12
Full-timeBristol, UKNo salary listedHybrid

About the Job

Requirements

  • Deep expertise in Snowflake and experience defining, designing, and governing enterprise data architecture.
  • Deep expertise in microservices, domain-driven design, bounded contexts, data ownership, event-driven integration, eventual consistency, and distributed transactions.
  • Hands-on experience designing and operating Kafka, Kinesis, or equivalent event-streaming platforms, including partitioning, ordering, event contracts, schema evolution, idempotency, replay, delivery guarantees, fault tolerance, security, and operational support.
  • Strong data modelling skills and the ability to select appropriate relational, NoSQL, graph, time-series, distributed SQL, and lakehouse data stores based on business and technical requirements.
  • Experience designing and developing semantic data models using tools such as dbt.
  • Experience architecting operational and analytical data pipelines across APIs, streaming, CDC, batch, and ETL/ELT, embedding data quality, lineage, metadata, security, testing, and observability.
  • Ability to work closely with engineering and product teams in fast-paced agile environments, making pragmatic trade-offs and establishing lightweight guardrails, automation, and architecture decision records.
  • Ability to design secure and well-governed cloud data architectures supporting sensitive data handling, operational resilience, traceable controls, and regulatory obligations.
  • Practical experimentation with AI-assisted architecture and engineering tools, understanding their benefits and limitations across research, modelling, coding, testing, and documentation.

Responsibilities

  • Define and evolve data strategy, architecture principles, standards, and target-state roadmaps, balancing scalability, resilience, security, cost, and delivery speed.
  • Design and govern scalable, secure, and cost-effective Snowflake architectures covering data ingestion, transformation, modelling, performance optimisation, workload management, data sharing, and integration for enterprise analytics and AI use cases.
  • Translate business requirements into robust data architecture, establish architectural standards and best practices, and guide engineering teams in building modern cloud data platforms.
  • Shape data strategy, improve data quality and accessibility, and maximise the value of the organisation’s Snowflake investment.

Desired Qualifications

  • Experience in UK wealth management, financial services, or fintech; candidates from other complex, regulated industries will also be considered.
  • Experience working with dbt and Dagster.
  • Legacy modernisation experience involving Oracle, Sybase, ISAM storage, and SFTP/file-based integration, including migration, coexistence, reconciliation, CDC, and progressive decoupling.

About the Company

AND Digital

Builds and scales customer software teams

AND Digital helps organizations accelerate the development of digital capabilities and software products by embedding high-performing teams and delivering hands-on product development. Its approach combines technical craftsmanship with product know-how and a strong focus on talent growth, supported by award-winning in-house recruitment to build the right people in the right environment for long-term success. This differentiates it from competitors by pairing delivery capability with ongoing people development and rapid scaling. The goal is to enable clients—ranging from airlines and media to retailers—to ship software faster and more reliably, with teams that can sustain growth over time.

Company size
501-1,000
Company stage
Early VC
Total funding
$25.1M
Headquarters
London, United Kingdom
Founded
2014

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