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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. 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.
Principal Engineer – Databricks
Location
India
Posted
113 days ago
Salary
0
Seniority
Lead
Job Description
Principal Engineer – Databricks
Flexera
• Architect, design, and implement scalable and performant Databricks-based data pipelines • Optimize Databricks Lakehouse architecture for cost efficiency and performance • Define and implement advanced data models to support complex analytics and AI/ML workflows • Design and tune complex Spark applications for high-volume data processing • Implement orchestration workflows to automate data pipelines • Drive best practices for data governance, security, and lineage • Collaborate with data scientists and analytics engineers • Author and maintain technical artifacts • Mentor and coach engineers on Databricks internals and best practices
Job Requirements
- Bachelor’s or higher degree in Computer Science, Software Engineering, or a related field
- 12+ years of software engineering experience, with 6+ years specifically in building large-scale data platforms
- Expert-level proficiency in Databricks
- Strong expertise with cloud-native data engineering in Azure or AWS
- Knowledge of streaming architectures and event-driven data modeling
- Hands-on experience with metadata catalogs and orchestration frameworks
- Proven ability to solve complex problems and make architectural trade-offs
- Excellent technical communication skills
- Prior experience mentoring engineers
Benefits
- Professional development opportunities
- Collaborative work environment
- Opportunities for career growth
- Fun and engaged hybrid working environment
- Supportive diversity and inclusion policies
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