Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.
Strong match if you have senior data engineering depth and want B2B SaaS / CPQ domain work in Bengaluru. Thin public employee-review and pay data here—validate culture and comp directly with Conga.
As Sr. Data Engineer at Conga, you would design and document database architectures that back CPQ and B2B product data, partner with architects on scalability and reliability, and build models, pipelines, and interfaces so product, finance, and customer data stay consistent and performant across services.
The listing flags remote as off; expect India–Bangalore / Bengaluru presence.
Public coverage positions Conga in CPQ and B2B revenue software, including PROS-related merger momentum.
Architecture, modeling, and reliable data systems supporting Conga’s product and business applications, per typical senior data-engineer scope.
Public-domain labor data — prepare examples for 2–3 of these.
Website: conga.com
"Conga" is a song by American band Miami Sound Machine, led by Gloria Estefan, released as the first single from their second English-language album, Primitive Love (1985). The song was written by the band's drummer Enrique Garcia. The song first appeared on August 31, 1985, as part of the album. The single was released in Australia on September 9, 1985.
Public cache only — not an employee review.
Join Conga's data engineering team in Bangalore to architect enterprise-scale data solutions that power commercial operations for thousands of organizations worldwide. This full-time Sr. Data Engineer role sits at the intersection of data strategy and platform delivery, where you'll design optimized data ecosystems that transform how businesses operate. Position Summary As a Senior Data Engineer at Conga, you'll be responsible for building the data foundation that enables enterprise analytics and informed decision-making across the organization. Working in partnership with application development teams and business stakeholders, you'll craft data architectures that are both technically sound and aligned with business objectives. Your work will focus on creating normalized, efficient data models that reduce complexity, optimize storage, and accelerate insights—ultimately supporting Conga's mission to help global enterprises manage their commercial operations seamlessly. Key Responsibilities Partner with development teams to establish optimal data representations that support evolving business processes Design and implement enterprise data models that minimize redundancy and streamline data movement across systems Develop and maintain robust data pipeline architecture capable of handling high-volume imports and delivering scalable solutions Collaborate with business users to gather requirements and iteratively refine conceptual, logical, and physical data models Build and operate data warehousing solutions that enable internal stakeholders and clients to extract actionable insights Establish and enforce operational procedures that ensure data quality, consistency, and efficiency at scale Contribute to continuous platform improvement by identifying opportunities and researching emerging best practices What We're Looking For 5+ years of professional experience in data engineering, with demonstrated expertise in data modeling, analytics, and enterprise reporting Hands-on proficiency designing and implementing relational databases within large-scale enterprise environments Deep knowledge of modern data modeling techniques, dimensional modeling, data warehousing principles, SQL, reporting solutions, and business intelligence best practices Experience with data visualization and reporting tools such as Power BI Required: Proven experience designing and delivering Snowflake-based solutions Demonstrated ability building ETL pipelines and data integration workflows, particularly using Matillion ETL Practical experience with Python; comfort leveraging AI-powered development tools to enhance automation Familiarity with Salesforce data models and SSIS is beneficial Bachelor's degree in Engineering or equivalent professional qualification Self-directed…
Generated for personal interview prep · 2026-07-16 UTC · getajob.ai