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Avanade

Digital transformation, cloud, and IT consulting.

GTM & Pre-Sales Architect - Data

Pre-Sales Solution EngineeringUpdated on Nov 12
Full-time€51k - €79k

About the Job

Requirements

  • The candidate should have at least 5–6 years of experience in pre-sales, solutioning, or deal shaping at a consulting firm or system integrator.
  • The candidate should have experience with the sales cycle for professional services and system integration solutions, from qualification and discovery through solution design, estimation, proposal, presentation, and handover to delivery.
  • The candidate should be able to compose solutions integrating different technologies and services; product pre-sales experience is relevant when it includes solutioning, integration, or coordination of a broader ecosystem.
  • The candidate should understand the market and competition and compare offerings, architectures, delivery models, and differentiators of system integrators and technology providers.
  • The candidate should have a strong architecture background in data platforms, analytics, cloud, and enterprise integration, with familiarity with lakehouse, data warehouse, data mesh, governance, business intelligence, real-time data, and AI-ready data.
  • The candidate should know the Microsoft ecosystem, particularly Azure, Microsoft Fabric, Power BI, Purview, and related data services. AWS or Google Cloud experience is also valued when paired with system integration skills and the ability to work in heterogeneous environments with a strong Microsoft component.
  • The candidate should be able to build value propositions, coordinate multidisciplinary teams, and communicate with executive, business, and technical stakeholders.
  • The candidate should have excellent knowledge of Italian and English.
  • The candidate should understand market dynamics, identify patterns and opportunities, and translate them into concrete go-to-market actions.
  • The candidate should be able to build trust, facilitate decisions, and handle complex conversations with business and technology stakeholders.
  • The candidate should balance value, competitiveness, feasibility, risk, effort, and margin while preserving solution quality.
  • The candidate should build consensus and mobilize capabilities across go-to-market, Sales, Account, Delivery, Accenture, and partner teams.
  • The candidate should study alternatives and competitors, anticipate objections, and identify differentiators.
  • The candidate should take ownership of actions, deadlines, and pursuit progress through a decision or transition to delivery.

Responsibilities

  • Guide solutioning and pre-sales for Data and AI initiatives, collaborating with Sales, Account, and Delivery teams.
  • Connect client needs, competitive positioning, and solution feasibility, contributing to qualification, opportunity shaping, and conversion across direct and indirect channels.
  • Lead the commercial journey from market analysis and client discovery through solution definition, proposal, and handover to delivery.
  • Translate market trends, client priorities, and competitive dynamics into propositions, sales plays, and actionable account conversations.
  • Lead discovery and qualification with business and IT stakeholders, clarifying needs, expected outcomes, constraints, decision criteria, and transformation paths.
  • Design end-to-end solutions and high-level architectures for data platforms, analytics, governance, data modernization, and AI-ready data, connecting business value with technology choices.
  • Contribute to deal shaping by defining solution strategy, scope, roadmap, estimates, assumptions, risks, and delivery model with Sales and Delivery.
  • Coordinate requests for information, requests for proposals, proposals, workshops, and client presentations, ensuring alignment among value proposition, differentiators, solution, effort, and execution plan.
  • Collaborate with internal teams and technology partners, including Microsoft and Databricks, using relevant offerings, accelerators, reference architectures, assets, and customer examples.
  • Support the transition from pre-sales to delivery.
  • Coach more junior colleagues through feedback and sharing best practices.

Desired Qualifications

  • Experience defining or industrializing offerings, accelerators, reference architectures, and sales plays for the Data and AI market.
  • Experience with co-selling or joint solutioning with technology partners and hyperscalers, including Microsoft and Databricks.
  • Knowledge of one or more industry sectors and the ability to connect IDP solutions to specific use cases, processes, and priorities.
  • Familiarity with business cases, cloud economic models, consumption estimation, FinOps, and return-on-investment evaluation.
  • Architectural or cloud certifications in Microsoft Azure, Microsoft Fabric, AWS, Google Cloud, or Databricks.

About the Company

Avanade

Digital transformation, cloud, and IT consulting.

Avanade helps large organizations move to digital operations using Microsoft-based solutions. It combines consulting, implementation, and managed services to deliver digital transformation, cloud migration, and optimized business processes. Its offerings are built around the Microsoft ecosystem, with partnerships with Microsoft and Accenture enabling tailored, enterprise-grade deployments. Avanade differentiates itself by aligning technology delivery with business outcomes for enterprise and public sector clients, focusing on long-term service contracts and customized design-led experiences. The company's goal is to drive efficiency, improve customer experiences, and support sustainable growth for clients through technology-enabled transformation.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Seattle, WA
Founded
2000

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