Staff Data Engineer
On-siteHyderabad, Telangana, India
Job Summary
Design and oversee deployment of data architecture and pipelines to capture, manage, and store structured and unstructured data from internal and external sources. Develop technical tools using ML and data-engineering techniques to cleanse, organize, and transform data while implementing automated processes to maintain data structure integrity and quality standards. Partner with product and AI teams to define evaluation metrics for agentic workflows, establish ground truth labeling standards, and design evaluation datasets reflecting real-world agent execution. Implement automated evaluation infrastructure that measures AI agent performance using Now LLM Service models and execution logs, creating dashboards and reporting for reproducibility. Create design standards and quality assurance processes for data systems, defining quality gates and analyzing workflow performance to recommend optimizations for evolving CRM AI requirements. Collaborate with product, engineering, and data science teams, mentoring junior engineers on data engineering and evaluation design. Requires 9+ years designing production data pipelines and 3+ years working on ML systems.
Required Qualifications
- 9+ years designing and building production data pipelines, data warehousing, ETL/ELT systems
- strong expertise in SQL, Python, Javascript or equivalent, and distributed data processing
- 3+ years working on ML systems, model validation infrastructure, automated testing, or AI-powered applications
- hands-on experience with data quality, feature engineering, and model monitoring
- Proven track record deploying, monitoring, and maintaining large-scale data systems in production
- experience troubleshooting data quality issues, latency, and system reliability
- Ability to design scalable, secure data architectures
- experience with cloud platforms (GCP, AWS), APIs, event-driven systems, and data governance patterns
- Familiarity with AI/ML evaluation frameworks, LLM-based systems, or agentic workflows
- ability to instrument and evaluate complex AI systems
- understanding of model performance tracking
- Comfortable driving technical conversations across multiple teams
- takes end-to-end ownership
- works autonomously
- mentors peers on data engineering standards and best practices
Desired Qualifications
- Experience on ServiceNow platform is good to have.
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