Principal Data & AI Engineer
Job Summary
Job Description
- Experience in large-scale data/content operations and platform engineering
- Experience with Microsoft SQL Server, Transact-SQL (T-SQL), C#, REST APIs
- Deep understanding of data architecture, domain modeling, and distributed system design
- Experience in Agile environments with cross-functional stakeholders
- Experience with workflow optimizations, including AI augmentation
- Familiarity with Data Lakehouse architectures, specifically Databricks
- Experience in IT Asset Management, FinOps, or vulnerability intelligence domains
10 skills required
Job Details
Flexera saves customers billions of dollars in wasted technology spend. A pioneer in Hybrid ITAM and FinOps, Flexera provides award-winning, data-oriented SaaS solutions for technology value optimization (TVO), enabling IT, finance, procurement and cloud teams to gain deep insights into cost optimization, compliance and risks for each business service. Flexera One solutions are built on a set of definitive customer, supplier and industry data, powered by our Technology Intelligence Platform, that enables organizations to visualize their Enterprise Technology Blueprint™ in hybrid environments—from on-premises to SaaS to containers to cloud.
We’re transforming the software industry. We’re Flexera. With more than 50,000 customers across the world, we're achieving that goal. But we know we can’t do any of that without our team. Ready to help us re-imagine the industry during a time of substantial growth and ambitious plans? Come and see why we’re consistently recognized by Gartner, Forrester and IDC as a category leader in the marketplace. Learn more at flexera.com
Reimagine enterprise data- and content operations at massive scale! As the Principal Data and AI Engineer at Flexera, you will bring technical innovation and sophistication to a talented team responsible for ingestion, curation, and organization of the world's IT assets. Your mission is to turn vast amounts of semi-structured data into trusted insights that empower customers to manage and optimize their IT landscape, which include hardware, software, SaaS, cloud, containers, AI services and more.
Key Responsibilities
Strategic Ownership
- Define and evolve the long-term strategy for content and data operations at scale. Balance the realities of now with an ambitious roadmap to the future
- Drive automation of data normalization, enrichment, and quality assurance. Push boundaries of AI/ML augmentation and Agentic AI
- Guide roadmap development by aligning technical direction with business priorities
Technical Leadership
- Design, optimize, and govern modern large-scale data architectures
- Drive system architecture across application, infrastructure, and ecosystem layers
- 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 etc.
- Provide technical oversight in areas like data modeling, system scaling, availability and reliability
- For architecturally complex projects, step in as a hands-on team multiplier to unblock the team and drive execution
Operational Excellence
- Champion data quality, accuracy, completeness, and timeliness as foundational metrics
- Provide oversight in areas like security and operational cost
We believe that the following experience is relevant
- Experience in large-scale data/content operations and platform engineering
- Experience with Microsoft SQL Server. Database design, optimization, and performance tuning. Transact-SQL (T-SQL), C#, REST APIs etc.
- Familiarity with Data Lakehouse architectures, specifically Databricks
- Deep understanding of data architecture, domain modeling, and system design in a distributed environment
- Solid experience working in Agile environments with cross-functional stakeholders.
- Experience with workflow optimizations through process, tooling and automation, including AI augmentation and Agentic AI
- Experience in IT Asset Management, FinOps, or vulnerability intelligence domains is a plus
We believe that the following personal traits will enable success in this role
- Crisp, clear, and honest communication
- Data driven, always seeking to validate hypothesis with data
- Attention to detail, while also being able to take a step back and look at the bigger picture
- Hands-on approach (seek out the problems), while also empowering the team
- A talent for storytelling and inspiring a team, and for mentoring technology talent
- High emotional intelligence, able to stay calm and composed under pressure
- Ability to drive and celebrate iterative improvements while always on the lookout for transformative change
#LI-REMOTE
#LI-JP2
Flexera is proud to be an equal opportunity employer. Qualified applicants will be considered for open roles regardless of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by local/national laws, policies and/or regulations.
Flexera understands the value that results from employing a diverse, equitable, and inclusive workforce. We recognize that equity necessitates acknowledging past exclusion and that inclusion requires intentional effort. Our DEI (Diversity, Equity, and Inclusion) council is the driving force behind our commitment to championing policies and practices that foster a welcoming environment for all.
We encourage candidates requiring accommodations to please let us know by emailing careers@flexera.com.
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