National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

AWS Databricks Data Architect

City of London
3 weeks ago
Create job alert

My client is based in the London area are currently looking to recruit for an experienced AWS Databricks Data Architect to join their team. They are one of the leaders within the consulting space and are currently going through a period of growth and are looking for an experienced Data Architect to join their team. They are backed by a huge Multi National equity firm who are looking to bolster my clients financial position. They are expected to see year on year growth, which will allow them to implement and utilise the most in demand and cutting edge technology on the market right now. They have just implemented Gen AI within their organisation are looking to utilise the newest technologies on the market.

Your role will include:

Responsible for designing and implementing effective Architectural solutions around the AWS Severless Technologies (S3, Lambda, Athena, Kafka) and Databricks including Data Lake and Data Warehousing.
Assess database implementation procedures to ensure they comply with GDPR and data compliance.
Guide, influence and challenge the technology teams and stakeholders to understand the benefits, pros and cons of solution options.
Agree and set the technical direction for the data platform landscape and solutions, for the short and long term, in collaboration with delivery and engineering teams.
This is a hands on role which requires extensive exposure to cloud technologies (AWS and Azure).

The right candidate will have extensive knowledge of writing codes, building data pipelines and doing digital transformation and ingestion a certain tech suite. Extensive experience in implementing solutions around the AWS cloud environment (S3, Databricks, Athena, Glue),
In depth understanding of Workflows, Asset Bundles, SQS, EKS, Terraform,
Excellent understanding of Data Modelling & Kinesis
An understanding of SQL/database management.
Strong hands-on experience in Data Warehouse and Data Lake technologies preferably around AWS.

My client is providing access to;

Hybrid 2 days (London),
28 Days Holiday, Plus Bank Holiday
Private Medical Health
Pension Scheme
And More...

This role is an urgent requirement, there are limited interview slots left, if interested send an up to date CV to Shoaib Khan - (url removed) or call (phone number removed) for a catch up in complete confidence.

Frank Group's Data Teams offer more opportunities across the UK than any other recruiter We're the proud sponsor and supporter of SQLBits, AWS RE:Invent, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group

Related Jobs

View all jobs

Senior Data Architect

Senior Data Architect

Pre Sales AI Data Architect

Data Architect

Data Architect (GCP)

Solutions Architect (Data Analytics)- Presales, RFP creation

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.