Job Description: Staff Data Engineer – NPS Prism
Location: India (Remote/Hybrid)
Experience: 6–8 Years
Employment Type: Full-time
Role Overview
We are seeking an experienced Staff Data Engineer to join the NPS Prism engineering team — a Bain platform that provides advanced analytics, benchmarking, and insights into customer experience metrics across industries.
As a senior technical leader, you will be responsible for designing, building, and optimizing large-scale, high-performance data pipelines and architectures that power NPS Prism’s analytics and client-facing applications. This role requires deep Databricks expertise, proficiency in Python, SQL, and PySpark, and the ability to work across cloud-native environments (Azure, AWS, or GCP).
You’ll collaborate closely with data scientists, product managers, and business stakeholders to shape and execute the platform’s data strategy, ensuring data quality, scalability, and reliability at enterprise scale.
Key Responsibilities
Data Architecture & Engineering Leadership
Design and own scalable data architectures for ingestion, transformation, and analytics on Databricks.
Build robust ETL/ELT pipelines using PySpark, SQL, and Databricks Workflows.
Lead performance tuning, partitioning, and data optimization across large distributed systems.
Mentor junior data engineers and enforce best practices for code quality, testing, and version control.
Cloud & Platform Engineering
Develop and maintain data lakes and data warehouses on cloud platforms (Azure Data Lake, AWS S3, GCP BigQuery, etc.).
Utilize Azure Data Factory, AWS Glue, or similar orchestration tools to manage large-scale data workflows.
Integrate multiple data sources (structured, semi-structured, and unstructured) into unified models for NPS Prism analytics.
Databricks & Advanced Analytics Enablement
Leverage Databricks for large-scale data processing, Delta Lake management, and ML/AI enablement.
Drive the adoption of Databricks Unity Catalog, governance, and performance features.
Partner with analytics teams to enable seamless model training and inference pipelines on Databricks.
Data Quality, Observability & Governance
Define and implement frameworks for data validation, monitoring, and error handling.
Collaborate with platform teams to establish data lineage and governance using tools like Great Expectations, Monte Carlo, or Databricks-native observability.
Ensure compliance with Bain’s data security and privacy standards.
DevOps & CI/CD for Data
Implement CI/CD pipelines for data code deployments using Git, Azure DevOps, or Jenkins.
Automate testing, deployment, and monitoring for data workflows to ensure reliability and repeatability.
Cross-Functional Collaboration
Work with product and business teams to translate analytical requirements into scalable technical designs.
Collaborate with Data Science and BI teams to deliver analytics-ready datasets for dashboards and models.
Serve as a technical advisor in architectural reviews and strategic data initiatives within NPS Prism.
Required Skills and Qualifications
Core Technical Expertise:
Advanced proficiency in Databricks (mandatory).
Strong command of Python, SQL, and PySpark for big data processing.
Experience with Delta Lake, Spark optimization, and cluster management.
Hands-on with ETL/ELT design, data lake and warehouse architecture.
Cloud expertise in Azure, AWS, or GCP (Azure preferred).
Leadership & Architecture:
6–8 years of data engineering experience, with at least 3 years in a lead or staff-level role.
Proven ability to design end-to-end data solutions and influence engineering best practices.
Strong mentorship and stakeholder management skills.
Additional Desirable Skills:
Familiarity with streaming frameworks (Kafka, Event Hubs).
Understanding of data modeling and BI integration (Power BI, Tableau).
Exposure to DevOps, CI/CD pipelines, and Infrastructure as Code (IaC).
Strong problem-solving and analytical skills.
Educational Qualifications
Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
Top Skills
What We Do
NPS Prism is the gold-standard customer experience (CX) benchmarking platform backed by Bain & Company that enables organizations to accelerate their path to CX leadership. Prism’s AI-enabled platform unlocks robust, journey and channel-level insights powered by proprietary methodology developed from Bain’s decades of research and CX case work.
NPS Prism is leveraged by senior leaders around the globe and has been adopted across 15+ countries and 10+ industries, including:
Airlines: End-to-end Airline customer lifecycle and loyalty insights for the US, Australia
Automotive: Automobile experience insights for the US, Mexico, Canada, and Brazil
Banking: Global coverage of Banking insights across Checking & Savings, Credit Card and more
Insurance: Multi-region Insurance coverage for Life, Home, Auto, and Annuities
Retail: Coverage across Grocery and Home Improvement experiences in the US
Telecom: CX insights for Telco, Internet, and Streaming across the US
Utilities: US Utility industry insights for Electricity, Gas service
Wealth: Wealth Management data for US and Canada, Retirement insights for US
Get clear answers on where you and your competitors are winning and why, and leverage Prism’s “light-touch” consulting to translate them into measurable strategies to prioritize meaningful change.
To learn more visit https://www.npsprism.com/
