Staff Data Engineer

Job not on LinkedIn

November 1

Apply Now

Receive Emails with Similar Jobs

NPS Prism

WebsiteLinkedInAll Job Openings

B2B • B2C • SaaS

NPS Prism is a customer experience (CX) benchmarking platform developed by Bain & Company, designed to provide insights that help businesses enhance their customer journeys. The platform allows business leaders to access real-time data, benchmarking metrics, and tailored insights to make informed decisions about customer experience improvements. With a global dataset and customer feedback from various industries, NPS Prism helps companies understand their performance relative to competitors and identify impactful areas for enhancement in customer satisfaction.

201 - 500 employees

Founded 2019

🤝 B2B

👥 B2C

☁️ SaaS

📋 Description

• 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. • 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. • 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. • 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. • 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. • 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.

🎯 Requirements

• 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) • 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 • 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. • Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.

🏖️ Benefits

• Bain’s award-winning collaborative work culture • Professional development opportunities