Data & AI Architect - GTM Solutioning & Presales

GlobalLogic

Greater London

Hybrid

GBP 90,000 - 130,000

Full time

32 hours ago
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Benefits offered by this job

Pension
Private medical insurance
Health Cash Plan
Volunteer days
Recognition program
Health & wellbeing programs

Job summary

GlobalLogic seeks a Data&AI Architect in the UK&I Go to Market Team to drive pipeline growth and lead enterprise transformation pursuits across our Data&AI Service Line. You will bridge C-suite decisions, hyperscalers, and delivery teams, architect end-to-end data platforms and governance standards.

This role mixes hands-on consulting with solutioning, proposition development, and GTM activities to package capabilities into compelling offerings for large enterprise clients.

Qualifications

  • 5+ years of consulting or delivery leadership experience in data&AI or high-growth tech
  • Proven track record of architecting, shaping, and closing large-scale enterprise data&AI deals
  • Hands-on experience in co-selling with cloud platforms and hyperscalers (Azure, AWS, GCP, Databricks, Snowflake)

Responsibilities

  • Lead technical pre-sales activities (PoCs, RFIs/RFPs, SoWs, cost modeling)
  • Package Data&AI capabilities into commercial offerings for C-level executives
  • Collaborate with Sales, Account and Delivery to identify cross-sell opportunities
  • Co-sell and co-develop market propositions with hyperscalers and platform partners
  • Architect scalable enterprise cloud platforms across full data lifecycle
  • Design modern lakehouse solutions and Medallion Architectures
  • Define data architectures for Enterprise AI, Generative AI and Agentic AI workflows
  • Incorporate FinOps and cost optimization into proposals
  • Advise during client onboarding to align delivery with blueprints
  • Develop reusable accelerators, templates and accelerators
  • Publish technical insights and speak at industry events

Skills

Data architecture
Cloud platforms
Pre-sales
Stakeholder mgmt
Generative AI
PySpark/Python
SQL modeling
CI/CD pipelines
Databricks
Snowflake
Azure/AWS/GCP

Tools

Databricks
Snowflake
Terraform
Git

Job description

GlobalLogic 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.

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 FinOps 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 insights, speaking at industry events, and contributing to whitepapers.
Job 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, workspaces, 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.
Company Benefits
  • Competitive pension scheme to help later on in life and private medical insurance & a Health Cash Plan to call upon when needed.
  • Annual Volunteering Days to work with a charity of your choice as we appreciate you may wish to give something back to the community.
  • Reward & Recognition -Reward Gateway access to acknowledge when you're doing a great job.
  • Holidays - Not just 25 days plus public holidays, you can also buy up to an extra five days to make sure you address that much needed work‑life balance.
  • Family First - Enhanced family friendly policies and access to on‑line shopping discounts platform as we appreciate the other roles you may have in life.
  • Health and Wellbeing - From free massages and annual health checks to subsidised gym membership and cycle to work schemes. Frequent Mental Health awareness days and access to a 24/7 EAP, as your welfare is important to us.
  • Personal Development - Your personal development is key to us and we make sure you get time to invest in your own personal learning and career progression supported by our generous training budget.
  • The Extras - Great coffee, fruit and snacks with beer and wine in the fridge and unforgettable social events, BBQ's and Christmas parties.
Interview Process

Initial call with the Talent Team, then interview with hiring managers

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