Principal Engineer - Data
EnlyftPune, Maharashtra, India
Posted March 17, 2026
Full Time
About the Company
Enlyft delivers AI-powered account intelligence tailored for partner ecosystems, integrating vendor, partner, and market signals into a unified intelligence layer that clarifies account prioritization and fuels pipeline growth. By combining intent data, signals, and alliance insights, the platform helps tech companies and their partners—such as Microsoft, Dell, and PwC—align go‑to‑market strategies and accelerate revenue. Enlyft’s distinctive value lies in its scalable, data‑driven approach that transforms disparate data into actionable insights, enabling partners to activate and grow accounts efficiently.
Job Description
The Principal Engineer - Data will lead the architecture and design of scalable data platforms and large-scale distributed data processing systems, build and evolve robust data pipelines, and establish best practices for data quality, observability, governance, and reliability. The role involves partnering with data science teams, evaluating modern data platform technologies, and driving adoption of LLMs and AI-powered tooling.
Requirements
- Bachelor's degree or higher in Computer Science, Engineering, or related field
- 13+ years of experience in data engineering
- Deep expertise in data modeling, distributed data processing, and large-scale ETL/ELT systems
- Strong experience with distributed data technologies (Spark, Kafka, Hadoop, or similar frameworks) and programming expertise in Python and SQL
- Experience with cloud such as AWS, Azure, or GCP and related services (S3, Redshift, BigQuery, Dataflow)
- Proven expertise in data quality checks
- Hands-on experience using LLMs, AI-assisted development tools, or AI-driven workflows
- Excellent problem-solving skills in a fast-paced, collaborative environment
- Strong communication skills for effective interaction with tech & non-tech stakeholders
Benefits
- Competitive pay
- Great benefits
