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Principal data and ai engineer

Elche
Flexera
Publicada el 5 junio
Descripción

Reimagine enterprise data and content operations at massive scale! As the Principal Data and AI Engineer at Flexera, you will drive technical innovation and lead a talented team focused on the ingestion, curation, and organization of the world's IT assets. Your mission: transform vast amounts of semi-structured data into trusted insights, empowering customers to manage and optimize their IT landscapes—including hardware, software, SaaS, cloud, containers, AI services, and more.


Key Responsibilities:


Strategic Ownership

* Define and evolve the long-term strategy for data and content operations at scale.
* Balance current realities with an ambitious roadmap toward future innovation.
* Lead automation efforts in data normalization, enrichment, and quality assurance using AI/ML and Agentic AI.
* Align technical direction with business priorities to shape the roadmap.


Technical Leadership

* Design, optimize, and govern modern, large-scale data architectures.
* Oversee architecture across applications, infrastructure, and ecosystem integrations.
* Apply advanced performance tuning, database optimization, and domain-driven design principles.


Engineering Partnership

* Collaborate with and mentor engineers on system architecture, CI/CD workflows, and API integrations.
* Provide technical oversight in data modeling, system scaling, availability, and reliability.
* Act as a hands-on contributor to unblock teams and drive execution on complex projects.


Operational Excellence

* Champion foundational data metrics: quality, accuracy, completeness, and timeliness.
* Ensure security and cost-effectiveness of operations through thoughtful oversight.


Required Experience

* Proven experience in large-scale data/content operations and platform engineering.
* Expertise in Microsoft SQL Server, including:
* Database design and performance tuning
* Transact-SQL (T-SQL), C#
* REST API integration
* Familiarity with Data Lakehouse architectures, especially Databricks.
* Strong understanding of data architecture, domain modeling, and system design in distributed environments.
* Experience working in Agile environments with cross-functional teams.
* Proficiency in workflow optimization through tooling, process, automation, and AI augmentation (including Agentic AI).
* Domain knowledge in IT Asset Management, FinOps, or vulnerability intelligence is a plus.


Personal Attributes

* Clear communicator: Crisp, honest, and transparent communication style.
* Data-driven mindset: Always seeks to validate hypotheses with data.
* Detail-oriented and strategic: Able to zoom into details while maintaining a broader perspective.
* Hands-on leader: Actively seeks challenges and empowers the team.
* Storyteller and mentor: Inspires teams through vision and guidance.
* Emotionally intelligent: Maintains composure under pressure.
* Change advocate: Balances incremental improvements with transformative innovation.

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