Technical Solutions Architect

World Wide Technology; Greater London; On-site; GBP 62,000 - 102,000; Full time

Benefits offered by this job

Bonus opportunities

Global exposure

Job summary

World Wide Technology (WWT) in London seeks a Technical Solutions Architect specialized in data engineering and AI-ready data foundations. You will lead pre‑sales engagements, craft architecture for scalable data platforms, and articulate value to executives.

You will collaborate with Databricks and Snowflake, guiding customers through AI-readiness and architecture reviews. The role emphasizes data strategy, engineering maturity, and cross‑functional engagement with sales, engineering, and

Qualifications

• 10+ years of experience designing, building, and optimizing scalable data platforms.
• Experience in a pre-sales, consulting, solutions engineering, or technical advisory capacity.
• Hands-on with modern cloud data platforms, especially Snowflake and Databricks.
• Experience with Snowflake Snowpark, Dynamic Tables, Streams & Tasks, and Snowflake Cortex.
• Experience with Databricks components such as Lakeflow, Delta Lake, and Unity Catalog.
• Strong data engineering fundamentals: ETL/ELT, data orchestration, batch and streaming processing, data modeling.

Responsibilities

• Independently lead pre-sales enterprise customer engagements, including workshops and architecture reviews.
• Advance opportunities across AI Studio, AI Foundry, and AI Factory offerings focusing on data strategy and AI-ready data architecture.
• Translate complex technical concepts into language suitable for business and executive stakeholders.
• Author technical content such as whitepapers and workshop curricula for AI-ready data.
• Engage with AI Proving Ground and partner ecosystems to validate approaches and support enablement.
• Partner with account teams across the full sales cycle to convert technical clarity into services opportunities.

Skills

Snowflake

Databricks

SQL

Python

Data architecture

Cloud platforms

Pre-sales advisory

Education

Bachelor's degree in CS or related

Tools

Snowpark

Delta Lake

Unity Catalog

Lakeflow

dbt

Airflow

Job description

Salary: £62,000 - 102,000 per year

Requirements:

• 10+ years of experience designing, building, and optimizing scalable data platforms, with strength in Snowflake, Databricks, and modern lakehouse architecture.
• Prior experience in a pre-sales, consulting, solutions engineering, or technical advisory capacity within an enterprise technology organization is preferred.
• Deep hands‑on experience with modern cloud data platforms, particularly Snowflake and Databricks.
• Experience with platform capabilities such as Snowflake Snowpark, Dynamic Tables, Streams & Tasks, and Snowflake Cortex.
• Experience with Databricks components such as Lakeflow (Connect, Pipelines, and Jobs), Delta Lake, and Unity Catalog.
• Strong data engineering fundamentals, including ETL/ELT pipeline design and implementation, data orchestration and workflow automation, batch and streaming processing, and data modeling for analytical and operational workloads.
• Proficiency in SQL and Python sufficient to write, debug, and review production-quality code independently.
• Working fluency in lakehouse and data platform architecture, including the ability to reason through platform tradeoffs and answer architecture‑level questions in real time.
• Governance fluency, with the ability to represent data quality, security, and trust topics credibly in customer conversations.
• Practical understanding of how AI workloads such as LLMs, RAG, and agentic AI consume enterprise data.
• Experience integrating and using AI coding assistants and agent tools with cloud data platforms.
• Experience implementing Databricks and Snowflake solutions on Azure, AWS, or Google Cloud.
• Advisory mindset and the ability to lead customers through ambiguous technical challenges.
• Experience supporting a services sales motion in a non‑quota‑carrying, technical advisory capacity.
• Strong communication skills across audiences, including data engineers, architects, IT leadership, and executive stakeholders.
• Experience with scoping and/or delivering large‑scale data platform migrations.
• Bachelors degree in computer science, data engineering, or a related field, or equivalent experience.
• Active Databricks and/or Snowflake certification(s) are highly preferred.
• Preferred experience with additional cloud data platforms such as Google BigQuery, AWS Redshift, or Azure Synapse.
• Preferred experience with CI/CD, DevOps, and Infrastructure as Code practices for data platforms.
• Preferred experience with metadata management, lineage tooling, and data observability/monitoring.
• Preferred familiarity with dbt, Apache Airflow, Azure Data Factory, Kafka, Event Hubs, or comparable orchestration/integration tools.
• Preferred familiarity with enterprise AI platforms such as Azure AI, AWS SageMaker, Google Vertex AI, Databricks Mosaic AI, NVIDIA NIM, or similar.
• A passion for helping customers solve complex business problems through modern data engineering and trusted data foundations.

Responsibilities:

• Independently lead pre‑sales enterprise customer engagements, including workshops, discovery sessions, architecture reviews, and executive briefings, focusing on data readiness for AI and the practical path from data foundation to AI value.
• Advance opportunities across the AI Studio, AI Foundry, and AI Factory offerings, with particular emphasis on data strategy, data engineering maturity, and AI‑ready data architecture.
• Translate complex technical concepts into language that resonates with business and executive stakeholders by connecting technology directly to outcomes.
• Author and contribute technical content such as whitepapers, workshop curriculum, and internal enablement that document field‑tested approaches for AI‑ready data.
• Engage with our AI Proving Ground and partner ecosystems, particularly Databricks and Snowflake, to develop insights, validate approaches, and support field enablement.
• Partner with account teams across the full sales cycle, converting technical clarity into services opportunities.

Technologies:

• Agentic AI
• AI
• Airflow
• AWS
• Redshift
• Architect
• Azure
• BigQuery
• CI/CD
• Cloud
• Databricks
• DevOps
• ETL
• Support
• Kafka
• Python
• RAG
• SQL
• Security
• Snowflake
• Unity
• dbt
• GameDev
• Copilot
• Hardware
• SMB

More:

We are World Wide Technology (WWT), a global technology organization founded in 1990 that helps public and private sector clients design, build, and scale intelligent AI, digital, cybersecurity, cloud, and infrastructure solutions. Our AI & Data Solutions team operates as a pre‑sales advisory practice within our GS&A organization, helping organizations move from AI interest to AI impact. This is a full‑time, salaried Technical Solutions Architect role focused on data engineering and AI‑ready data foundations, based in London. We offer a challenging and rewarding position in a growing, truly international environment, with a competitive salary, bonus opportunities, and benefits. We also promote equal opportunities and a culture of belonging, innovation, collaboration, and respect across our global team.

last updated 37 week of 2026