Work with our customers across a wide range of topics, from basic administration of TimescaleDB to deep consultative conversations around design, optimization, and implementation. Manage support cases from beginning to end and develop and maintain close relationships with our customers to help them be successful.

Use various tools and processes to complete data migrations from other software packages into our products in a timely and accurate manner. Develop procedures and scripts for continuous improvement and repeatable processes. Coordinate database changes and migrations with technical team, projects team and management.

Build efficient, high quality, integrated and increasingly real-time ETL/ELT pipelines to organize, collect, standardize and integrate data. Partner with engineering, data science, and business stakeholders to build data insights. Provide production support for data tools and data needs across the business.

As a PostgreSQL Consultant (DBC) you will work as part of Pythian's open source team providing database & application infrastructure support. You'll collaborate with customer teams, create database standards, optimize queries, and monitor database environments, also diagnose and address performance issues using various tuning techniques.

Design and develop our best-in-class cloud platform, working on all parts of the code stack from front-end, REST and asynchronous APIs, back-end application logic, SQL/NoSQL databases and integrations with external systems. Develop solutions across the data and analytics stack from ETL and Streaming data.

The Lead Database Consultant will supply complete support for all aspects of database and application infrastructure to a variety of clients, as assigned. You will provide client service associated with Database Consultants such as the coordination, analysis, design, implementation, and administration of IT solutions, including database server configuration and maintenance. You will also analyze client’s infrastructure and processes.

Build, optimize, and maintain data pipelines that power our business. Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research. Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies. Protect our users’ privacy and security through best practices.