Solutions Architect (Presales, Data & AI, Digital Native Business)

United States Digital Space LLC; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

United States Digital Space LLC is seeking a Solutions Architect in London to lead the technical strategy for customers, owning architecture discussions and driving platform adoption. You will act as a trusted advisor to customer technical leads and architects and develop a technical specialization within the team.

You will orchestrate cross-functional resources to deliver comprehensive solutions for complex customer needs, influence product direction with feedback on requirements, and work on

Qualifications

• Minimum 6+ years in solutions architecture, data engineering, or senior technical role
• Strong coding in Python and SQL with live coding and solution-building ability
• Deep expertise in distributed data systems architecture and cloud-native data platforms
• Experience leading architecture discussions with senior technical stakeholders and doing whiteboarding

Responsibilities

• Own end-to-end technical strategy for accounts from discovery to deployment
• Lead architecture discussions for scalable, production-grade data/ML/real-time analytics
• Advise customer architects, engineers and directors as a trusted advisor
• Drive platform adoption and growth by demonstrating differentiating solutions

Skills

Python

SQL

Distributed data systems

Architectural design

Cloud platforms

Education

Bachelor's or Master's in CS/Engineering/quantitative field

Tools

Snowflake

AWS/Azure/GCP

Job description

Req ID: FEQ427R45Location London, UKThe Role

As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position the company as the foundation of your customers’ data and AI strategy. You are developing a technical specialisation (archetype) and are recognised within your team for depth in a specific domain.

The Impact You Will Have

• Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth
• Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics
• Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
• Drive technical wins in competitive scenarios by demonstrating the company’ differentiation through custom-built solutions
• Develop and declare an emerging technical specialisation (archetype) — becoming a go-to resource for your team in that domain
• Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs
• Influence product direction by providing structured feedback on customer requirements and competitive gaps

What We Look For

• 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role
• Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills
• Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
• Proficient on the the company Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialisation in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)
• Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis
• Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations
• Track record of driving platform adoption and consumption growth within accounts
• Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)

Nice to Have:

• the company certifications (Data Engineer, ML, Platform)
• Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against
• Background in a data/AI company or cloud provider
• Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.)

Interview Process:

Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check

About the company

the company is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the the company Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, the company offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow the company on LinkedIn, X, YouTube, and Instagram.

**Benefits

**At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region.

Our Commitment to Diversity and Inclusion

At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.