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Product Pulse

Data & AI Solutions Lead (Pre-Sales & Strategy)

Remoto
Tiempo completo
hace 4 días
Descripción del puesto

📍 Madrid or Barcelona (1 day onsite per week) -- Hybrid working model

💰 €70,000 -- €80,000 base salary + performance-based bonus

🌍 English: minimum B2 level

An international technology consulting firm specializing in digital transformation, with a well-established and rapidly growing Data & AI practice. The company partners with major enterprise clients across national and international markets.

As part of its continued expansion within the Data domain, the firm is looking to strengthen its team with a highly strategic and technically accomplished professional.

As a Data & AI Solutions Architect, you will play a key role in shaping modern data platforms and AI-driven solutions for enterprise clients.

You will combine deep technical expertise with strategic thinking, working at the intersection of architecture design, Machine Learning enablement, and client-facing solution definition.

This is not a sales role and carries no direct revenue targets. Instead, you will provide architectural leadership during early-stage client engagements --- defining how solutions should be structured, which technologies are best suited, and how to scope and dimension delivery effectively.

Key Responsibilities

  • Design end-to-end data architectures in cloud environments (primarily Microsoft Azure; AWS or GCP experience is a plus).
  • Architect and define solutions leveraging Azure Databricks and Lakehouse paradigms.
  • Design scalable architectures supporting Machine Learning and AI use cases.
  • Contribute to RFP responses and technical proposal development.
  • Support commercial teams in client meetings by:
    • Understanding business and technical requirements.
    • Translating them into scalable architectural designs.
    • Defining implementation strategy and delivery roadmap.
  • Provide effort estimation and high-level solution sizing.
  • Act as a technical reference within the Data practice.
    • Promote best practices in Data Engineering, MLOps, and data governance.

Technical Requirements

  • 6 years of experience in Data and Cloud environments.
  • Proven experience as a Data Architect or Senior Data Engineer.
  • Strong background in designing modern, scalable data platforms.
  • Solid expertise in:
    • Microsoft Azure (preferred)
    • Azure Databricks
    • Data Engineering
    • Machine Learning and AI
    • Data integration and modeling
  • Experience supporting technical solution design in client-facing contexts.
  • Strong communication and stakeholder management skills.
  • English proficiency.

Nice to Have

  • Experience working with large enterprise clients.
  • Participation in RFP processes.
  • Cloud certifications (Azure, AWS, GCP).
  • Experience leading technical initiatives or teams.
  • Familiarity with MLOps frameworks and best practices.

Selection Process

  1. Cultural fit interview.
  2. Technical assessment.
  3. Strategic and client-facing interview.

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