Partner with customers post-implementation to ensure smooth onboarding, adoption, and success with RudderStack’s platform
Act as a Data Consultant by leading technical discussions and solution design sessions to align customer data architecture with business goals
Troubleshoot and resolve complex integration or data pipeline issues in collaboration with Product and Engineering
Provide best-practice guidance on data collection, transformation, and routing across warehouses and destinations
Create technical documentation, playbooks, and training materials to accelerate customer enablement
Act as a customer advocate by sharing feedback and feature requests with internal teams
Measure and improve key outcomes such as time to value, feature adoption, and customer satisfaction

3
5 years of experience in solutions engineering, customer success engineering, or similar technical customer-facing roles
Solid understanding of data pipelines, ETL/rELT processes, APIs, and modern data warehouses (e.g. Snowflake, BigQuery, Redshift)
Proficiency in SQL and familiarity with at least one scripting language (Python or JavaScript preferred)
Strong problem-solving and troubleshooting skills, with the ability to explain complex concepts clearly to varied audiences
Excellent communication and collaboration skills; comfortable working with both technical and business stakeholders
Self-motivated, adaptable, and eager to learn in a fast-paced, remote-first environment

Solutions Engineer – Post Sales

Key skills