Senior Data Engineer - Internal Platform
Core
Build and own the data infrastructure powering Parloa's internal AI transformation, creating a self-serve access layer for AI agents and teams.
Role type
Senior Data Engineer (Internal Platform)
Builds
Internal-facing Databricks workspace, automated ingestion pipelines, and analysis-ready datasets for AI workflows.
Domain
Enterprise AI / Conversational AI / Data Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, ETL/ELT tools, MLOps, dimensional modeling, modern data warehouse technologies, data governance, GDPR/DPA compliance
Preferred skills
Experience designing data layers for AI/LLM-based applications, understanding of AI data consumption patterns (context windows, retrieval, embeddings)
Technologies
Databricks, Airbyte, Salesforce, Gong
Responsibilities
Own the Internal-facing Databricks workspace end-to-end; Build and maintain Airbyte pipelines for data ingestion; Implement data modeling and transformation architecture; Partner with AI Transformation Team on data enablement; Define and build KPIs and dashboards for AI adoption; Own data classification, access policies, and pipeline monitoring
Seniority
Senior, hands-on IC