Remote Data Architect: Cloud-Native, AI-Driven Data Strategy

AND Digital Limited; Greater London; Híbrido; GBP 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Holiday entitlement

Innovation days

Volunteer days

Share scheme

Flexifund

Team socials

Descripción de la vacante

AND Digital is seeking a hands-on Data Architect to define data strategy and architecture within a cloud-native environment. You will balance scalability, security and cost while guiding complex data models and distributed systems across teams.

You will lead end-to-end data flows, implement event streaming with Kafka or Kinesis, and work closely with engineering and product teams in an agile setting to deliver resilient data solutions.

Formación

• Define and evolve data strategy, architecture standards and target-state roadmaps.
• Experience with microservices, DDD, bounded contexts and event-driven integration.
• Hands-on with Kafka or Kinesis and data streaming platforms.
• Strong data modelling and multi-store technology knowledge.
• Led data architecture in cloud-native, agile environments.

Responsabilidades

• Define data strategy and architecture principles across cloud-native environment.
• Design and operate event streaming platforms like Kafka/Kinesis.
• Architect data pipelines across APIs, streaming, batch, ETL/ELT.
• Collaborate with engineering and product teams to deliver architecture decisions.

Conocimientos

Data Architecture

Cloud-Native

Event Streaming

Data Modelling

End-to-End Data Flows

Technical Leadership

Security & Resilience

AI‑Assisted Engineering

Herramientas

Kafka

Kinesis

NoSQL

Lakehouse

SQL

Descripción del empleo

AND Digital is seeking a hands-on Data Architect to define data strategy and architecture within a cloud-native environment. You will balance scalability, security and cost while guiding complex data models and distributed systems across teams.

You will lead end-to-end data flows, implement event streaming with Kafka or Kinesis, and work closely with engineering and product teams in an agile setting to deliver resilient data solutions.