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

Job Title : Senior Staff Data Engineer

Experience: 8+ years

About the Role

Senior Staff Data  Engineer is a leader who combines deep technical expertise with strong mentorship and process excellence. This is not just about building data pipelines; it’s about driving execution, enabling the team, and shaping the future of our engineering culture.

Key Responsibilities

• Architecture & Design: Define and implement system architecture for distributed, data-intensive applications ensuring scalability, reliability, and security.
• Data Engineering: Build and optimize pipelines using Databricks and PySpark for large datasets and high-volume data processing.
• Cloud Solutions: Architect and manage AWS-based solutions for compute, storage, and analytics.
• Automation & CI/CD: Develop and maintain automated workflows using YAML for deployment and testing.
• Machine Learning Integration: Design and deploy ML models into production pipelines for real-time and batch processing.
• Performance Optimization: Ensure systems can handle substantial data throughput with minimal latency.

• Lead & Mentor: Provide technical guidance, coach engineers, and foster a culture of learning and collaboration.
• Champion Processes: Drive Agile practices, ensure high-quality code through reviews, and establish engineering best practices.
• Enable AI Innovation: Explore and integrate AI tools to boost productivity and enhance engineering workflows.
• Collaboration: Work closely with cross-functional teams to deliver end-to-end solutions.

Required Skills & Qualifications

• Technical Expertise:
  • Strong Technical Knowledge on Databases (Oracle, SQL Server, My SQL etc)
  • AWS cloud services
  • Databricks with PySpark for large-scale data pipelines
  • Experience with data lakehouse architectures for unified analytics and storage
• Data & ML: Strong experience with big data processing and machine learning workflows.
• Proven experience in technical leadership, mentorship, and team enablement.
• Strong knowledge of Agile methodologies, code review processes, and engineering best practices.
• Excellent communication and collaboration skills with a track record of influencing technical strategy.

Preferred Qualifications

• B.E / B.Tech / M.Tech or any equivalent Qualifications.
• AWS Certifications (e.g., AWS Certified Solutions Architect, AWS Certified Data Analytics).
• .NET for enterprise application development.
• GitHub Actions for advanced CI/CD automation.
• Experience designing and managing large-scale relational and NoSQL databases, ensuring high availability and optimized performance for enterprise-grade workloads.

Why Join Us?

At Flexera, we’re building solutions that power data-driven decisions at scale. You’ll work on cutting-edge technologies, lead talented engineers, and shape processes that define how we deliver excellence. If you thrive in an environment that values innovation, collaboration, and impact, we’d love to hear from you.