Azure Data Solutions Architect

Job Description

Job Opportunity: Data Solution Architect

Join a Market Leader in Data-Driven Transformation

My client is a global leader in data analytics, AI-driven solutions, and digital transformation, working with some of the biggest names across insurance, banking, health care, retail, and logistics. With a reputation for innovation and an exceptional track record, they help top-tier companies enhance their operations by embedding analytics into workflows and leveraging cutting-edge AI technology. Trusted by nine of the top ten U.S. insurance companies and six of the top ten U.S. health care payers, my client is committed to empowering businesses with the insights and digital capabilities they need to succeed.

They have recently made a significant investment in AI and data analytics, particularly in the realm of Gen AI, building in-house capabilities and focusing heavily on data management. This is an exciting opportunity for a talented professional to shine, especially with their Dragon's Den-style initiative, where employees pitch their innovative ideas directly to senior leadership, with a chance to secure up to £250,000 in investment and present in New York this December.

With industry-leading training, access to certifications (Databricks, SQL, Python, and more), and no utilisation targets, my client ensures long-term job security and career growth. This is your chance to be part of a forward-thinking, high-impact team in a company that values talent, innovation, and collaboration.

About the Team & Role

This role sits within the Data Architecture Team, led by Adam Tappis (AVP, Lead Architect & Hiring Manager). Following a strategic acquisition of a US-based consultancy, the UK arm of this team has grown to 75 specialists, with a core team of four Data Architects. Due to expansion and internal restructuring, they are looking for a dynamic and hands-on Data Solution Architect to join their ranks.

What you'll be doing:

1. Leading client projects from a technical standpoint, ensuring seamless data architecture solutions.
2. Acting as an engagement lead, collaborating with both onshore and offshore teams.
3. Designing and implementing data-driven architectures, working closely with clients to address complex data challenges.
4. Engaging in hands-on development where necessary; this role requires someone who has evolved from an engineering background into architecture.
5. Working with a variety of cloud environments (Azure, AWS, GCP) with a strong focus on Databricks, Snowflake, Synapse, SQL, Python, and PySpark.

Who We're Looking For

Essential Experience:

1. Hands-on Data Engineer background progressing into a Data Solution Architect role.
2. Expertise in SQL, Python, PySpark, and data pipeline development.
3. Experience with data modelling, warehousing, and lakehouse architectures.
4. Cloud expertise: Azure (50%), on-prem (10%), and other cloud platforms.
5. Ability to lead client engagements, ensuring technical and strategic objectives are met.
6. Strong stakeholder management skills and experience working in a client-facing role.

Bonus:

1. Experience with Snowflake, BigQuery, Synapse, or Databricks.
2. Ability to work across multiple cloud environments with specialization in one.

Why Join My Client?

1. Job Security & Flexibility: Unlike other consultancies, my client does not have utilisation targets, meaning job stability is guaranteed even during project transitions.
2. Huge Growth Potential: Extensive training opportunities, Databricks certification sponsorship, and access to cutting-edge AI projects.
3. Innovation Opportunities: Pitch your ideas to senior leadership and potentially secure £250,000 in funding for your business proposition.
4. Competitive Package: £110,000-£120,000 + 12.5% bonus.
5. Hybrid Working: Dependent on client requirements; some projects require 1-3 days in the office, others offer full remote flexibility.