Revenera helps product executives build better products, accelerate time to value and monetize what matters. Revenera’s leading solutions help software and technology companies drive top line revenue with modern software monetization, understand usage and compliance with software usage analytics, empower the use of open source with software composition analysis and deliver an excellent user experience—for embedded, on premises, cloud, and SaaS products.
Job Title : Senior Staff Data EngineerExperience: 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.Revenera 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. Regarding disability, we encourage candidates requiring accommodations to please let us know by emailing
careers@flexera.com
.
