Forward Deployed Data Engineer IV, Databricks
Core
Build and ship production data platforms end-to-end for utility clients, enabling decisions, applications, and models on governed, reliable data.
Role type
Senior IC data engineer (utility industry, Databricks/AWS)
Builds
Production data platforms, ingestion pipelines, operator-facing data quality dashboards, and reusable frameworks
Domain
Utility industry, cloud data engineering, Databricks, AWS
Required skills
Python, SQL, Databricks, Spark, AWS, data pipeline design (batch/streaming), data governance, CI/CD, Git, Docker, AI coding assistants
Preferred skills
Graph database modeling, streaming platforms (Kafka), feature pipelines for ML/AI, Databricks Apps, cost/performance optimization in Databricks, Databricks certification
Technologies
Databricks, Spark, Python, SQL, AWS, Kafka, React, Streamlit, Dash, REST, GraphQL
Responsibilities
Design and build production data platforms from discovery to handover; own technical architecture and defend it to clients; run independent technical discovery; deliver working systems within weeks; lead migrations from legacy systems; model data for downstream use; integrate with utility source systems via APIs; make pipelines observable and operable; build operator-facing application layers; manage scope and timelines; contribute reusable frameworks; apply data governance and security controls (via careerplan.io/jobs/d2971000-56c3-4f11-af28-9997bfe06fb1-forward-deployed-data-engineer-iv-databricks-at-e-source)
Seniority
Senior, hands-on IC