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For Companies At a Glance
- Tasks: Lead the design and integration of multi-cloud data platforms for a major M&A programme.
- Company: Join a leading consultancy focused on innovative data solutions in Retail & CPG.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with high visibility and collaboration across senior stakeholders.
- Why this job: Make a significant impact by shaping data strategies and driving advanced analytics.
- Qualifications: 15+ years in Data & Analytics with strong leadership and technical expertise.
The predicted salary is between 80000 - 100000 £ per year.
We are seeking a Data & AI Technical Lead to drive the Discovery & Design phase of a large-scale M&A program for a Retail & CPG client. This role will lead the technical direction across a complex, multi-cloud data landscape spanning Azure, AWS, GCP, Databricks, and Snowflake. You will oversee and guide senior Data Architects, ensuring architectural alignment, technical quality, and business relevance. The role sits at the intersection of business strategy, data architecture, and platform engineering, acting as a key liaison between client stakeholders, IT teams, and the Chief Data Office. This is a high-impact leadership role requiring both hands-on architectural depth and stakeholder influence at senior levels.
Key Responsibilities
- Technical Leadership & Architecture Governance
- Provide strategic and hands-on technical leadership across multi-cloud data platforms (Azure, AWS, GCP)
- Guide and mentor senior Data Architects, ensuring consistency in design patterns, frameworks, and standards
- Define interim-state, target-state and transitional architectures for M&A integration (data platforms, analytics, AI/ML enablement)
- Establish best practices across Databricks, Snowflake, and cloud-native data services
- M&A Discovery & Design
- Lead data discovery across merging entities: systems, pipelines, governance, and data models
- Define integration strategy (consolidation vs federation vs hybrid)
- Identify synergies, redundancies, and risks in data ecosystems
- Produce high-quality architecture blueprints, roadmaps, and design artefacts
- Stakeholder Management & Liaison
- Act as the primary technical interface between business stakeholders, IT / Engineering teams, Chief Data Office (CDO), and client-side architects and leadership
- Translate business objectives into scalable technical solutions
- Facilitate architecture reviews, design workshops, and decision forums
- Data & AI Strategy Enablement
- Define foundations for advanced analytics, AI/ML, and data products post-M&A
- Align architecture with data governance, security, and compliance frameworks
- Enable scalable, future-proof data platforms supporting Retail & CPG use cases (e.g., demand forecasting, customer 360, supply chain optimisation)
- Delivery Oversight
- Ensure architectural integrity during discovery and early delivery phases
- Review and validate design outputs from architects and engineering teams
- Manage risks, dependencies, and technical trade-offs
- Support estimation, planning, and prioritisation activities
Required Skills & Experience
- Core Technical Expertise
- ~15+ years in Data & Analytics, with 5+ years in leadership roles
- Strong hands-on experience across Azure cloud, ADF, DevOps, Power BI, Fabric workspaces
- AWS cloud, S3, cross-cloud connectivity, API Gateways
- GCP (BigQuery, GCS, Dataflow)
- Deep expertise in Databricks (Lakehouse architecture, Delta Lake, Unity Catalog, Delta Sharing, Pyspark, Spark SQL etc.)
- Snowflake (data warehousing & data sharing, Iceberg)
- Strong understanding of data architecture patterns, industry benchmarking, data integration patterns (ETL/ELT, streaming, CDC, APIs), data governance & metadata management
- Architecture & M&A Experience
- Proven experience in M&A data integration, platform consolidation, or carve-outs
- Experience designing multi-cloud or hybrid data architectures
- Familiarity with enterprise architecture frameworks (TOGAF or equivalent)
- Leadership & Stakeholder Skills
- Experience managing or leading senior architects or technical teams
- Strong communication skills with the ability to influence C-level stakeholders
- Ability to bridge business strategy and technical execution
- Experience working in consulting or client-facing roles
Data Architect / BI Architect employer: Qualient Technology Solutions UK Limited
Contact Detail:
Qualient Technology Solutions UK Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect / BI Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Data Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving multi-cloud data platforms. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership experience. Be ready to discuss how you've guided teams and influenced stakeholders in previous roles.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Architect / BI Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect / BI Architect role. Highlight your experience with multi-cloud platforms like Azure, AWS, and GCP, and showcase any leadership roles you've held. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention specific projects where you've led data architecture initiatives or M&A integrations. Let us know how you can drive our technical direction!
Showcase Your Technical Skills: In your application, don't forget to highlight your hands-on experience with tools like Databricks and Snowflake. We’re looking for someone who can not only lead but also dive deep into the technical details, so make sure we see that expertise!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Qualient Technology Solutions UK Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific technologies mentioned in the job description, like Azure, AWS, GCP, Databricks, and Snowflake. Brush up on your hands-on experience with these platforms, as you’ll likely be asked to discuss your past projects and how you’ve used these tools to drive data architecture.
✨Prepare for Stakeholder Scenarios
Since this role involves liaising with various stakeholders, think of examples where you've successfully communicated technical concepts to non-technical audiences. Be ready to explain how you’ve translated business objectives into technical solutions, as this will showcase your ability to bridge the gap between strategy and execution.
✨Showcase Your Leadership Skills
Highlight your experience in leading teams and mentoring other architects. Prepare anecdotes that demonstrate your leadership style, especially in high-pressure situations like M&A integrations. This will help interviewers see how you can guide and influence senior Data Architects effectively.
✨Understand M&A Dynamics
Familiarise yourself with the intricacies of M&A data integration and the challenges that come with it. Be prepared to discuss your approach to identifying synergies and risks in data ecosystems, as well as how you would define integration strategies. This knowledge will be crucial in demonstrating your fit for the role.