Data Architect, Derby

Futures Housing Group
Derby
1 month ago
Applications closed

Related Jobs

View all jobs

Data Architect

Data Architect

Data Architect

Senior Data Architect - Databricks

Data Engineering Lead / Data Architect

Data Scientist / AI Engineer

Are you ‘The One’……

Could you be the one to lead Futures Housing Group down the data rabbit hole, plugging us into the Matrix? We’re looking for a Data Architect in a brand new role to join our mission to find the door and help our people walk through it.

Like Morpheus, we’re looking for a flexible, adaptable Data Architect who can help transform our reality and crucially, how we do business. This role is being uploaded so we can recruit special talent working at the cutting edge of helping us improve what we do and how we do it.

Because this is a cross-business role, we need a special someone who can share their data knowledge, influence decision making and effortlessly deliver data solutions in complex environments.

As part of our Data Strategy, we’re recruiting for both this role and the additional new role of Data Engineer, we’re hoping that our new Data Architect can utilise their expertise, taking part in the recruitment of our Data Engineer!

A few key points from our role profile:

  • Lead on the delivery and implementation of the Group’s data strategy.
  • Design and implement scalable, secure, and efficient data architecture.
  • Develop and maintain enterprise data models, standards, and frameworks.
  • Enable seamless data integration across systems and applications aligned with business needs.
  • Support initiatives and collaborate with stakeholders to deliver improved data quality, enforce standards, optimise data for analytics, and oversee compliance with data governance policies and regulatory requirements.
  • Provide strategic guidance and expertise towards the continual improvement and development of the Group’s data strategy.
  • Act as a subject matter expert on data architecture in cross-functional projects.
  • Ensure alignment of data architecture with cloud, on-premises, or hybrid infrastructure strategies.

You’ll be a real problem solver, someone with a natural passion for data who is excited by translating business needs into technical data solutions and you’re ready to apply your understanding of data architecture principles, frameworks, and methodologies to make a lasting difference for colleagues and customers.

You\\\'ll support, develop and have line management responsibility for a Data Engineer, who will lead on the management and integration of data through ETL processes. You\\\'ll also be working seamlessly with other data teams, such as those delivering reporting, cyber security, data policies and data regulations.

You’ve the ability to work accurately, deliver high standards and work to tight deadlines which will make you a great fit for our forward thinking ICT Team.

So, what’s in it for me!

If you’re successful, you’ll be joining a dynamic organisation with an amazing culture. We offer competitive benefits that include agile working. The flexibility you may need wherever possible, mileage, private healthcare options, discount schemes and with a big emphasis on health and well-being. You’ll have great opportunities to grow and develop, personally and professionally, but the greatest reward will be knowing you’re helping people and communities across our region to thrive.

We’ve a state-of-the-art, flexible workspace so you’ll have both great people and a great environment around you. We’ll also provide you with an agile kit and access to Touchdown Points where you can plug in to a workstation, catch up with colleagues and attend local meetings. 

We’re also proud to be awarded the coveted Investor in People Platinum award – the highest of IiP accreditation. The award recognises organisations which are passionate about making sure all employees get the best experience at work.

To start your Futures Journey, take a look at our Role Profile and make a note in your calendar, 1st stage interviews will take place 5th/6th March with face to face interviews 18th/19th March. Please note we may contact candidates or close the vacancy prior to the closing date.

Salary:£70,410Location:Derby, DE74 2SA

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.