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Inetum

Global IT services for digital transformation

Technical Leader - Data Architecture & AI, Databricks

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeMadrid, SpainNo salary listed

About the Job

Requirements

  • At least 7 years of experience in data, including at least 4 years leading technical teams with direct responsibility for people and delivery.
  • Demonstrated experience as a data solutions architect in enterprise environments, such as banking, industry, energy, telecommunications, or the public sector.
  • Experience in consulting or professional services, including client management, presales, and work with technology partners.
  • Proficiency in PySpark, SQL, and Python; orchestration using Airflow or Databricks Workflows; and CI/CD for data.
  • Knowledge of data governance, including catalogs, quality, lineage, and data contracts.
  • Knowledge of cloud architectures in Azure and/or AWS.
  • Ability to structure and defend architecture decisions before executive committees.
  • Ability to manage multiple projects simultaneously with autonomy.

Responsibilities

  • Lead multidisciplinary teams of data engineers and architects, including capacity planning, delivery tracking, and performance management.
  • Develop team talent through technical mentoring and defining career and Databricks certification plans.
  • Manage technical client relationships at executive level, including steering committees, escalations, and expectation management.
  • Define and validate end-to-end lakehouse architectures covering ingestion, medallion modeling, data governance, semantic layers, and analytics or AI activation.
  • Design generative and agentic AI solutions over governed data, including RAG, agents, MLOps, and LLMOps, ensuring traceability, quality, and regulatory compliance.
  • Establish technical standards, reusable frameworks, and accelerators for the practice.
  • Serve as the practice’s principal Databricks expert across Unity Catalog, Delta Lake, Delta Live Tables/Lakeflow, Databricks SQL, Mosaic AI, platform governance, and FinOps.
  • Lead migrations to Databricks from legacy platforms such as SAS, Teradata, SAP BW, and Hadoop, and lead greenfield projects on Azure and/or AWS.
  • Collaborate with the Databricks partner ecosystem by providing technical support for presales opportunities, proofs of concept, workshops, and RFP responses.
  • Contribute to technical proposals and effort estimates for practice opportunities.
  • Participate in internal innovation initiatives, including proprietary frameworks, accelerators, and company intellectual property.

Desired Qualifications

  • Recent experience in generative AI and agentic architectures.
  • Databricks Certified Data Engineer Professional certification, or Associate certification accompanied by a demonstrable track record.
  • Azure Solutions Architect Expert, AWS Solutions Architect, or data governance certifications such as DAMA/CDMP.

About the Company

Inetum

Global IT services for digital transformation

Inetum provides IT services for digital transformation in 26 countries, serving enterprises, SMEs, and public sector clients. It offers cybersecurity, cloud computing, predictive maintenance, and augmented reality, delivered through consulting, managed services, and proprietary software. It differentiates itself through a broad service portfolio, strategic partnerships with Microsoft and Sage, and a focus on tailoring solutions to fit each client’s needs. Its goal is to help clients adapt to a changing digital landscape, improving business agility and creating economic, managerial, and social opportunities.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Saint-Ouen, France
Founded
1995

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