Principal Data And Ai Engineer

Reimagine enterprise data and content operations at massive scale!
As thePrincipal Data and AI Engineerat 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 OwnershipDefine 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 LeadershipDesign, 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 PartnershipCollaborate 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 ExcellenceChampion foundational data metrics: quality, accuracy, completeness, and timeliness.Ensure security and cost-effectiveness of operations through thoughtful oversight.Required ExperienceProven experience in large-scale data/content operations and platform engineering.Expertise in Microsoft SQL Server, including:Database design and performance tuningTransact-SQL (T-SQL), C#REST API integrationFamiliarity 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 AttributesClear 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.