At a Glance
- Tasks: Lead the technical direction of multi-cloud data platforms and mentor senior Data Architects.
- Company: Join a leading firm driving innovation in the Retail & CPG sector.
- Benefits: Competitive contract rate, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic role with high visibility and influence at senior levels.
- Why this job: Make a significant impact on large-scale M&A projects with cutting-edge technology.
- Qualifications: 15+ years in Data & Analytics with strong leadership and multi-cloud experience.
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 artifacts.
- Stakeholder Management & Liaison
- Act as the primary technical interface between 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 optimization).
- Delivery Oversight
- Review and validate design outputs from architects and engineering teams.
- Ensure architectural integrity during discovery and early delivery phases.
- Manage risks, dependencies, and technical trade‑offs.
- Support estimation, planning, and prioritization activities.
Required Skills & Experience
- 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.) and 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.
- 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).
- 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.
Senior Data & AI Technical Lead - Multi-Cloud Architect employer: Onyx-Conseil
As a Senior Data & AI Technical Lead at our London-based firm, you will thrive in a dynamic hybrid work environment that fosters innovation and collaboration. We prioritise employee growth through mentorship and leadership opportunities, ensuring you can make a significant impact on high-profile M&A projects while working with cutting-edge multi-cloud technologies. Our inclusive culture values your expertise and encourages you to drive strategic initiatives that shape the future of data architecture in the Retail & CPG sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data & AI Technical Lead - Multi-Cloud Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website showcasing your projects and achievements in data architecture and AI. This gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and scenarios related to multi-cloud architectures and stakeholder management to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates. Let’s get you that dream job!
We think you need these skills to ace Senior Data & AI Technical Lead - Multi-Cloud Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Data & AI Technical Lead role. Highlight your hands-on experience with multi-cloud platforms and leadership in data architecture to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of your past achievements in data integration and M&A projects, and how they relate to what we’re looking for.
Showcase Your Technical Skills:Don’t hold back on showcasing your technical expertise! Mention your experience with Azure, AWS, GCP, Databricks, and Snowflake, and how you've applied these in real-world scenarios to drive business outcomes.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at Onyx-Conseil
✨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 applied these tools in real-world scenarios.
✨Prepare for Leadership Questions
Since this role involves leading senior Data Architects, be ready to showcase your leadership style and experiences. Think of examples where you’ve successfully guided teams, resolved conflicts, or influenced stakeholders at a senior level. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Understand M&A Dynamics
Given the focus on M&A integration, it’s crucial to understand the challenges and strategies involved in data consolidation and governance during mergers. Prepare to discuss your experience with M&A projects, including any specific methodologies or frameworks you’ve used to ensure successful data integration.
✨Engage with Stakeholder Scenarios
Expect questions about how you would handle stakeholder management and communication. Prepare to discuss how you would translate business objectives into technical solutions and facilitate architecture reviews. Think of scenarios where you’ve had to bridge the gap between technical teams and business leaders.
