Consultant Data & AI Architect

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., 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.

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.