Data & AI Architect – Life Sciences - barcelona

Hace 2 días

Barcelona, Cataluña, España Jobrapido Jornada completa
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As a Manager / Senior Data & AI Architect in Barcelona, you will bridge strategy, business, and technology for Life Sciences. You’ll lead end-to-end data and AI architecture design, guide delivery, and shape reusable capabilities. You’ll engage in pre-sales, articulate complex decisions to executives, and mentor teams to scale solutions. This role combines hands-on technical depth with client-facing and commercial responsibilities to grow our Life Sciences practice. You’ll join a global Data & AI team while collaborating locally across Iberia and with broader BIP geographies.

Compensaciones / Beneficios
  • hybrid working model
  • private health insurance
  • wellness platforms
  • meal vouchers
  • parental leave benefits
  • training and certifications
Responsabilidades
  • Design end-to-end Data, Analytics and AI architectures (data lake/lakehouse, integration, governance, ML/GenAI, AI agents).
  • Translate Life Sciences business needs into scalable, secure technology solutions.
  • Act as trusted technical advisor to CIOs/CDOs and architecture teams; lead pre-sales activities and client workshops.
  • Collaborate with commercial leaders to identify and mature opportunities; contribute to proposals and roadmaps.
  • Provide technical leadership to multidisciplinary teams (data engineers, data scientists, ML engineers, AI specialists).
  • Define architecture standards across security, observability, MLOps/LLMOps, governance and data quality.
  • Ensure production operability, performance, security, cost control and long-term scalability.
  • Mentor junior colleagues and promote best practices through design reviews and knowledge sharing.
Requisitos principales
  • 7+ years of experience in data/analytics/cloud/AI with architecture or technical lead responsibilities.
  • Proven Life Sciences domain knowledge and understanding of regulatory context.
  • Experience designing modern data solutions (lake/lakehouse, warehouse, streaming, APIs, governance).
  • Deep knowledge of at least one major hyperscaler (Azure, AWS or Google Cloud) and multi-cloud capability.
  • Experience with Databricks, Microsoft Fabric, Snowflake, BigQuery or equivalent.
  • Strong SQL and Python; working knowledge of Spark and distributed systems.
  • Knowledge of AI/ML and GenAI architectures (LLMs, RAG, agents, vector search, guardrails, observability).
  • Strong client-facing experience and ability to present to technical and executive audiences; pre-sales experience.
  • Professional English (C1) and Spanish; Italian or Portuguese a plus. xkdbapo
  • Willingness for hybrid work in Barcelona and occasional travel.
  • Consulting mindset and client orientation
  • Communication and influencing skills
  • Commercial and pre-sales mindset
  • Data lake/lakehouse architectures
  • Data governance, data quality, MDM
  • MLOps / LLMOps, CI/CD, DevOps