Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Snowflake Data Architect

Slalom
Greater London
6 days ago
Create job alert

Snowflake Data Architect – Principal

London or Manchester | Hybrid

About us - Slalom

Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In eight countries and 53 markets, we deeply understand our customers—and their customers—to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 700 leading technology providers, our 10,000+ strong team helps people and organisations dream bigger, move faster, and build better tomorrows for all. 

We’re honoured to be consistently recognised as a great place to work—named one of the Fortune 100 Best Companies to Work For® from 2016 to 2024, and featured on Glassdoor’s Best Places to Work list from 2016 to 2023. We’ve also been recognised across the UK and Europe for wellbeing, inclusion, and consulting excellence. 

Since opening our doors in London in 2014, and then the launch of our Manchester office in 2019, it’s been an unforgettable journey. What’s more, we’re at an exciting stage of our growth in the UK—and now Ireland—with our Dublin office now well established and growing rapidly. We’re looking for great people who want to be part of that adventure. Our employees are at the heart of delivering impactful and meaningful work for our clients and helping them to reach for and realise their vision. 

Slalom's Data Capability

At Slalom, we believe that through our trusted relationships with our clients, we can create modern data solutions that drive results and improve the world. Interested in Strategy? Have a passion for Architecture? Want to work in a team that is pushing the forefront of the latest technology in the Engineering and AI space? We can offer you this. Slalom is agnostic when it comes to the technology we work with and we support clients in a range of data cloud partnerships including: AWS, Azure, Snowflake and Databricks to name but a few. We are interested in individuals who are passionate and curious about what is next. 

Snowflake Data Architect

Slalom is seeking an experienced Snowflake Data Architect to contribute to its growing Data & Analytics practice. The ideal candidate is a professional with experience in designing, developing, validating and communicating enterprise data solutions using Snowflake. Deep experience in developing enterprise data management strategies including data lake/warehouse implementations, data movement, data services, data acquisition, data conversion, and archive/recovery.

What will you do?

Lead as a hands-on architect on Snowflake implementations Research, analyse, recommend and select technical approaches for solving challenging development and integration problems for clients Explore emerging technology vendors and recommend/advise clients on reference architectures

Requirements:

Expert in capturing end user requirements and aligning technical solutions to the business objectives Experience in leading, designing and implementing Cloud Data strategies, including designing multi-phased implementation roadmaps Significant experience in Snowflake and acted as lead data architect on at least two large scale Snowflake implementations. Expertise in data architecture concepts such as dimensional modelling, data vault, data mesh. Understanding data management and governance concepts such as data quality, metadata management, etc. Experience in designing data engineering solutions using open source and proprietary cloud data pipeline tools Strong data engineering experience delivering end-to-end projects on cloud AWS/Azure. Experience in delivering greenfield projects including infrastructure setup. Experience in leading data platform development teams Knowledge of data science and visualisation Must have Snowflake SnowPro Core Certification and ideally SnowPro Advanced too

We have a question for you - and it’s something we’re really passionate about. Can you imagine a world in which you can truly love your life and your work? Well, we have some good news – creating that world and making this vision a reality is what we get out of bed for; it’s our north star. 

But what do we really mean when we talk about loving your life and your work? Let’s take a look at the ways in which we help our team members to achieve this – and the ‘how’. 

Deep connections, better outcome 

We have deep relationships with over 400 leading technology partners and they love us for our innovative and outcome based approach. Our people are passionate about solving our clients’ problems using the tech that’s the best solution for them. What’s more, we’re there to work side-by-side with our client teams to enable them for success long after we’ve gone. We’re all about momentum that outlasts us. 

Flexibility 

Life is busy and we appreciate that. We’re often juggling work, family, and personal commitments. We do everything we can to support our people in prioritising what matters to them while also working on high-impact projects that they’ll love. 

People-first 

Great solutions start with great people. And those great people are at their best when they’re empowered to be their true authentic selves. Through leading with kindness and empathy, and striving for equity, we’re able to create better experiences for our people and our clients. Our culture is central to everything we do - encouraging passion and adventure, adaptiveness, and diversity of thought. Inclusion, diversity and equity is at the top of our agenda, we have created a community where we empower our team to be the best version of themselves. 

Rewards 

There’s no shying away from it - the compensation and benefits on offer have to be competitive too, right? We know that. That’s why we have a dedicated team working with our leaders to ensure our packages are fair, competitive, and rewarding! 

Take a look at the role above and if something sparks your interest, apply! 

Want to learn more?

Get in touch! 

If you require any assistance with regards to reasonable adjustments during the recruitment process, please do not hesitate to contact us – we will always be happy to help. 

#LI-hybrid 

#LI-SM 

Related Jobs

View all jobs

Snowflake Data Architect

Snowflake Data Architect

Snowflake Specialist Data Architect

NEW IN| Data Engineer | High visibility and be a part of a global expansion| Data transformation | London – Hybrid| £100,000

NEW IN| Data Engineer | High visibility and be a part of a global expansion| Data transformation | London – Hybrid| £100,000

Data Architect - Affinity Reply

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.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.

Automate Your Data Science Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

Data science roles land daily across banks, product companies, consultancies, scaleups & the public sector—often buried in ATS portals or duplicated across boards. The fix: put discovery on rails with keyword-rich alerts, RSS feeds & a reusable ChatGPT workflow that triages listings, ranks fit, & tailors your CV in minutes. This copy-paste playbook is for www.datascience-jobs.co.uk readers. It’s UK-centric, practical, & designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning Core DS, Applied/Research, Product/Decision Science, NLP/CV, Causal/Experimentation, Time Series/Forecasting, MLOps-adjacent & Analytics Engineering overlaps. Shareable Boolean searches for Google & job boards that strip out noise. Always-on alerts & RSS feeds that bring fresh UK roles to you. A ChatGPT “Data Science Job Scout” prompt that deduplicates, scores match & outputs ready-to-paste actions. A simple pipeline tracker so deadlines & follow-ups never slip.