Senior Data Engineer - Internal Platform

About the role

As Senior Data Engineer – Internal Platform, you will build and own the data infrastructure that powers Parloa's internal AI transformation. You'll create a single, self-serve access layer that gives AI agents and teams the business context they need to operate, and define the KPIs and dashboards leadership uses to track AI adoption and impact.

What you'll do

• Own the Internal-facing Databricks workspace end-to-end: configuration, compute, access controls, and cost management.
• Build and maintain Airbyte pipelines that pull data from Salesforce, Gong, HRIS, finance systems, and other tools on automated schedules.
• Implement the architecture that turns raw data into clean, trusted, analysis-ready datasets.
• Partner with the AI Transformation Team to ensure AI agents and LLM workflows get the right data in the right format.
• Define and build the KPIs and dashboards that track AI usage, proficiency, and business impact across the company.
• Own data classification, access policies, GDPR/DPA compliance, and pipeline monitoring.

What you'll need

• Experience designing data layers that power AI/LLM-based applications and agentic workflows.
• Proficiency in Python, SQL, ETL/ELT tools, and MLOps.
• Knowledge of dimensional modeling and modern data warehouse technologies.
• Ability to comprehend and execute on complex requirements and resolve performance issues.
• Ability to articulate complex technical concepts to non-engineering audiences, making data architecture decisions and trade-offs understandable for leadership and cross-functional stakeholders.
• Understanding of how AI tools consume data – context windows, retrieval patterns, embedding pipelines – and how to optimize data access.

Nice to have

• Passion for staying updated and driving innovation in data engineering.
• Ability to define and instrument AI adoption KPIs: usage tracking, proficiency distribution, and business impact metrics.