Data Architect Lead

2 days ago


Newcastle upon Tyne, Newcastle upon Tyne, United Kingdom Amber Labs Full time

Amber Labs is a pioneering technology consultancy that empowers autonomy, promotes experimentation, and facilitates rapid learning to deliver exceptional value to our clients. Our company culture is built on collaboration, where colleagues work together to minimise risk and shorten delivery times.

We offer a flexible work environment focused on deliverable outcomes, allowing you to grow professionally and personally in a rapidly expanding startup. You will have access to private medical insurance through Aviva, a company pension plan through Nest, and 25 days of annual leave plus UK bank holidays.

This role seeks an experienced Data Architect who can design and implement basic, enterprise-level data capabilities, including ingestion, lake, warehouse, and lakehouse implementation, obfuscation, and PII data handling. You will work with technical designs, interpret client needs, and provide architectural guidance. Proficiency in AWS (S3, EMR, Lambda) and Databricks is essential, as well as experience with Kafka and good communication skills.

The ideal candidate will have a strong background in data architecture, with experience working with data models, metadata systems, and data governance. You will be responsible for designing data dictionaries, overseeing data artefacts, and ensuring teams adhere to organisational standards.

You will work closely with technical architects to ensure system designs align with data architecture principles. Your responsibilities will include interpreting stakeholder needs, managing expectations, and communicating findings effectively. You will also evolve and define data governance, assure data services, and understand emerging trends in data tools and analysis techniques.

This is a permanent position, and all employees must meet the Baseline Personnel Security Standard (BPSS). The estimated salary for this role is £80,000 - £110,000 per annum, depending on experience.


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