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Appvia

Senior Data & AI Solutions Architect – Pre-Sales

Appvia

Senior Data & AI Solutions Architect at Appvia developing and influencing Data & AI capabilities while driving customer engagements and technical outcomes.

Posted 6/23/2026full-timeLondon • 🇬🇧 United KingdomSenior💰 £80,000 - £100,000 per yearWebsite

Tech Stack

Tools & technologies
Amazon RedshiftAWSAzureBigQueryCloudETLGoogle Cloud Platform

About the role

Key responsibilities & impact
  • Partner with the Revenue team to shape account plans, opportunity strategy, and business objectives
  • Technically qualify opportunities, validating customer fit, decision criteria, and clear paths to value
  • Own the technical outcome of customer engagements from discovery through proof-of-value and into delivery
  • Lead workshops to uncover business goals, technical constraints, and success criteria
  • Qualify value, ROI, and TCO to help customers secure investment and stakeholder buy-in
  • Support proposals, Statements of Work, RFI/RFP responses, and security questionnaires
  • Design and deliver compelling demonstrations, proofs-of-concept, and technical deep dives
  • Build reusable demo environments, reference architectures, and technical assets to accelerate future sales cycles
  • Create segmented technical content, webinars, and industry-facing material with Marketing
  • Develop relationships with cloud and SI partners to expand Appvia's reach and co-sell opportunities
  • Represent Appvia at customer workshops, industry events, and community meetups
  • Feed customer insight, competitive intelligence, and market trends back into Product and Professional Services

Requirements

What you’ll need
  • Experience in pre-sales, solution architecture, consulting, or technical evangelism within Data & AI
  • Strong understanding of modern data platforms and data architecture
  • Experience designing and explaining Lakehouse and Data Warehouse architectures using technologies such as Databricks, Snowflake, Microsoft Fabric, BigQuery, Redshift, or similar
  • Strong understanding of ETL/ELT, analytics and BI, stream vs batch processing, and Medallion Architecture
  • Familiarity with the Data Science and ML lifecycle, including feature engineering, model training, monitoring, and MLOps
  • Working knowledge of GenAI technologies, including RAG, MCP, vector databases, LLM providers, agentic workflows, and LLMOps
  • Experience with cloud-native technologies across AWS, Azure, or GCP, including their Data and AI services
  • Understanding of data governance, responsible AI, access controls, data lineage, and compliance requirements
  • Experience running proofs-of-concept and technical evaluations through to successful outcomes
  • Strong customer-facing experience within enterprise environments
  • Excellent communication, presentation, storytelling, and workshop facilitation skills
  • A self-starter mindset and the ability to thrive in a fast-paced, evolving environment

Benefits

Comp & perks
  • Flexible working hours - because we know life happens outside of work
  • Hybrid working - outcomes focused working
  • 25 days’ holiday a year, plus bank holidays
  • An additional day off for your birthday
  • Enhanced maternity and paternity to full pay
  • Workplace Nursery Benefit to help working parents
  • Full Private Healthcare cover for you with partners and children covered 50%
  • Death in Service
  • Cycle to Work scheme
  • Electric Car Scheme
  • Pension plus a salary sacrifice option for even greater savings
  • Employee Assistance Programme
  • Free hygiene products available in the London office
  • Free therapy through AXA
  • Access to the Headspace App
  • Trained Mental Health First Aiders
  • Learning budget of £1,000 a year
  • Your own MacBook Pro while you work at Appvia
  • Dog friendly office
  • Wear what makes you comfortable
  • Free snacks in the office
  • Pool table & ping pong table
  • Regular team socials, board game nights, industry meetups and more!

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
pre-salessolution architectureconsultingtechnical evangelismdata architectureLakehouse architectureData Warehouse architectureETLELTMLOps
Soft Skills
communicationpresentationstorytellingworkshop facilitationself-starter mindsetcustomer-facing experiencerelationship buildingstrategic thinkingproblem-solvingcollaboration