Principal Data Engineer

Mastery of data architecture principles, data modelling frameworks (e.g., dimensional modelling), and data governance and security best practices Strong software engineering mindset with significant experience implementing CI/CD for data, Git-based workflows, and automated data quality testing Exceptional communication and stakeholder management skills Proven ability to translate complex technical concepts for non-technical audiences and influence business decisions Genuine passion for leadership and mentorship with a track record of elevating technical skills of others Proficiency in dbt Proficiency in Databricks, Unity Catalog Proficiency in Terraform Proficiency in AWS services: Redshift, Dynamo db, API gateway, Cloud Watch, Lambda, Streaming with Kenisis/Firehose, Glue, Bedrock Proficiency in Stitch & Fivetran Advanced SQL Python

Own the technical vision and roadmap for the data platform Design, implement, and refine a robust data lakehouse architecture using Databricks and Delta Lake Develop and maintain resilient, reusable patterns for ingesting data from diverse sources Lead the implementation of core data modelling principles Establish a comprehensive data governance framework using Unity Catalog Develop and implement strategies for managing platform performance and cost Implement and advocate for automated CI/CD pipelines for all data assets Champion a Git-first culture for all data transformation code Implement comprehensive, automated data quality testing Establish thorough monitoring, logging, and alerting for all data pipelines Collaborate directly with leaders in Product, Engineering, Sales, Finance, and Customer Success Advise analysts, data scientists, and other stakeholders on leveraging the data platform Serve as the go-to expert on data architecture Actively mentor data analysts and engineers Lead initiatives to encourage knowledge sharing and explore new technologies Partner with data leadership to define career progression pathways and interview new team members