About the role
We are seeking a highly skilled Staff Data Engineer to work closely with enterprise clients in designing, building, and optimizing modern data solutions. This role blends strong technical expertise with client-facing responsibilities, requiring the ability to deliver scalable data integration and virtualization solutions while ensuring performance, reliability, and user adoption. The ideal candidate will play a key role in troubleshooting complex issues, enabling seamless data access, and guiding clients through best practices and implementation strategies.
- Provide technical consulting, training, and support for data integration and virtualization solutions
- Troubleshoot and resolve complex issues across data platforms and environments
- Collaborate with clients and internal teams to design and implement tailored data solutions
- Deliver technical presentations, workshops, and product training sessions
- Support integration with enterprise systems, APIs, and cloud platforms
- Handle escalations and proactively enhance system performance and efficiency
- Contribute to documentation, knowledge base, and best practices
- Build strong client relationships and manage expectations effectively
- Assist in developing customized deployments based on business needs
- Stay updated with emerging technologies and industry trends
- 7–12 years of experience in Data Engineering, Data Integration, Data Virtualization, or Data Warehousing
- Strong expertise in SQL and relational/analytical databases
- Hands-on experience with ETL processes and data integration tools
- Knowledge of JDBC, XML, and Web Services APIs
- Familiarity with cloud platforms such as AWS, Azure, or GCP
- Experience with version control systems like Git
- Exposure to Big Data or NoSQL technologies (e.g., Hadoop, MongoDB)
- Solid understanding of enterprise architecture and system integration
- Strong analytical, troubleshooting, and problem-solving skills