Technical Manager – Data Architecture, AI, Databricks

Posted Oct 8

This is a fully remote position, open to applicants in Spain.

📋 Description

• Lead multidisciplinary teams of data engineers and architects.

• Plan capacity, monitor delivery, and manage performance.

• Develop talent through technical mentoring and career and certification plans.

• Manage technical relationships with clients at an executive level.

• Define and validate end-to-end lakehouse architectures.

• Design generative and agent-based AI solutions on governed data.

• Establish technical standards, reusable frameworks, and accelerators.

• Act as a Databricks reference within the practice.

• Lead migrations to Databricks from legacy platforms and greenfield projects on Azure/AWS.

• Collaborate with the Databricks partner ecosystem in pre-sales, PoCs, workshops, and RFPs.

• Contribute to technical proposals and effort estimations.

• Participate in internal innovation initiatives.


⛳️ Requirements

• Over 7 years of experience in the data field.

• At least 4 years leading technical teams with direct responsibility for personnel and delivery.

• Proven experience as a data solutions architect in enterprise environments.

• Experience in consulting or professional services.

• Customer management experience, pre-sales, and working with technology partners.

• Recent experience in generative AI and agent-based architectures is highly valued.

• Databricks Certified Data Engineer Professional, or Associate with demonstrable experience.

• Proficiency in PySpark, SQL, and Python.

• Experience with Airflow, Databricks Workflows, and CI/CD for data.

• Knowledge of data governance: catalogs, quality, lineage, and data contracts.

• Familiarity with cloud architectures in Azure and/or AWS.

• Ability to structure and defend architectural decisions before executive committees.

• Structured thinking, results orientation, and autonomy in managing multiple concurrent projects.


🏝️ Benefits

• Funded certification plan and dedicated time for training and innovation.

• Hybrid work model.

• 22 vacation days + 2 personal days.

• Training provided by the company.

• Attendance at relevant industry events and conferences.

• Permanent contract.

• Stability and a positive work environment.

• Competitive salary.

• Access to company group benefits.

• Flexible compensation and additional perks.

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