Strategic Data Architect & AI Transformation Leader

Astro Studios, Inc.; Manchester; Hybrid; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Health and lifestyle perks

25 days annual leave plus bonus day

Generous company pension scheme

Annual performance-based bonus

Cycle to work scheme

Job summary

A leading consulting firm in the UK is seeking a Data Architect to drive data and AI transformations for clients. You will define data blueprints and architect solutions while collaborating with interdisciplinary teams. A key requirement is strong client-facing skills and experience in cloud technologies. This role offers a hybrid working model with opportunities for professional development and certifications. Ideal candidates possess a data background and thrive in fast-paced environments.

Qualifications

• Hands-on data background with experience leading engineering teams.
• Clear understanding and practical application of data architecture methodologies.
• Thrive in problem-solving and analytical thinking.
• Experience with cloud technologies is advantageous.
• Client-facing capabilities and stakeholder collaboration experience.

Responsibilities

• Drive data and AI transformations for clients.
• Define the data blueprint and architecture for complex programmes.
• Architect end-to-end data platforms including ingestion and governance.
• Handle complex client challenges and lead team assignments.
• Create an inclusive environment and push client outcomes.

Skills

Data architecture

Problem-solving

Analytical thinking

Client-facing skills

Agile methodologies

Education

Relevant technical certifications

Tools

AWS

Azure

Google Cloud Platform

Databricks

Snowflake

Job description

A leading consulting firm in the UK is seeking a Data Architect to drive data and AI transformations for clients. You will define data blueprints and architect solutions while collaborating with interdisciplinary teams. A key requirement is strong client-facing skills and experience in cloud technologies. This role offers a hybrid working model with opportunities for professional development and certifications. Ideal candidates possess a data background and thrive in fast-paced environments.