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Data & AI Architect – Solutioning & Presales IRC

Job in Newcastle upon Tyne, Newcastle, Tyne and Wear, SY7, England, UK
Listing for: GlobalLogic
Full Time position
Listed on 2026-09-04
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Position: Data & AI Architect – Solutioning & Presales IRC303856
Location: Newcastle upon Tyne

Function

Data Analytics/Warehousing & Business Intelligence

Experience

5-10 years

Location

United Kingdom - Edinburgh, London, Manchester

Skills

Python & SQL:
Advanced Python (Py Spark

Global Logic is seeking a Data & AI Architect working in our UK & Ireland Go to Market Team to drive pipeline growth and lead enterprise transformation pursuits across our Data & AI Service Line. Positioned at the intersection of technical mastery, architecture design, and strategic consulting, this dual-hatted role shapes, packages, and closes large-scale enterprise deals while establishing sound architectural blueprints.
You will serve as the strategic bridge between C-suite client decision-makers, hyperscaler partners (AWS, Azure, GCP, Databricks, Snowflake), and internal delivery teams. You will architect end-to-end solutions spanning modern data platforms, medallion architectures, Enterprise AI, and Agentic workflows, ensuring technical feasibility and immediate business ROI.
This role will have both hands-on consulting with our client-facing projects as well as Solutioning and Proposition Development that would be expected from a Go To Market focussed role.

Requirements
  • 5+ years of consulting or delivery leadership experience within data & AI, professional services, or a high-growth technology environment.
  • Proven track record of architecting, shaping, and closing large-scale enterprise data & AI deals with executive business stakeholders.
  • Hands-on experience in co-selling with cloud platforms and hyperscalers (Azure, AWS, GCP, Databricks, Snowflake).
  • Outstanding communication skills, with a demonstrated ability to translate complex technical concepts for both developer teams and C-suite audiences.
  • A global mindset, with experience working across geographies including India, East Europe and North America.
  • Proven track record of acceleration of Business growth
  • Deep expertise in PySpark/Python, Advanced SQL, data modeling, batch/real-time streaming, and CI/CD pipelines (Git, Terraform, Databricks Asset Bundles).
  • Deep knowledge of Databricks/Snowflake environments, including Unity Catalog, work spaces, Delta Lake, and networking/security (VPNs, Private Links, Firewalls) and/or Snowflake Platform including Cortex, Horizon and Snowpark.
  • Advanced proficiency in Azure, AWS, or GCP platform setup and administration.
  • Practical understanding of Generative AI, RAG frameworks, Agentic AI architectural patterns, and security guardrails.
  • Solid understanding of data governance standards (lineage, access control) and performance/cost optimization frameworks.
Job responsibilities
  • Lead technical pre-sales activities, including customer discovery workshops, Proofs of Concept (PoCs), proposals, RFIs/RFPs, Statements of Work (SoWs), and commercial cost modeling.
  • Shape, translate, and package cutting-edge Data & AI capabilities (Generative AI, Agentic workflows, Data Mesh) into compelling commercial offerings and business outcomes for C-level executives.
  • Collaborate closely with Sales, Account, and Delivery teams to identify cross-sell/up-sell opportunities within new and existing enterprise accounts, driving deal closures.
  • Co-sell and co-develop joint market propositions alongside hyperscalers and platform partners (Azure, AWS, GCP, Databricks, Snowflake).
  • Architect scalable, enterprise-grade cloud platforms across the full data lifecycle—from platform setup and ingestion to orchestration and consumption.
  • Design modern lakehouse solutions, defining Medallion Architectures (Bronze/Silver/Gold), cross-domain data modeling, and governance standards.
  • Define data architectures supporting Enterprise AI, Generative AI, and Agentic AI workflows, including vector databases and orchestration frameworks.
  • Incorporate Fin Ops and cost optimization strategies into solution proposals by tuning query performance and balancing cluster/storage costs.
  • Serve as the strategic technical advisor during marquee client onboarding, ensuring delivery teams align with pre-sales architectural blueprints.
  • Contribute to practice expansion by developing reusable accelerators, solution blueprints, and standardized implementation templates.
  • Act as a thought leader by publishing technical…
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