Data Engineer
Core
Design, build, and maintain data pipelines and analytics-ready data models on Azure Databricks to power dashboards and reporting for designers and creative tools.
Role type
Data Engineer
Builds
Data pipelines, data models, and analytics infrastructure for Adobe Creative Cloud
Domain
Creative software / Digital experiences
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Apache Spark, Azure Databricks, data modeling, data warehousing, container technologies (Docker, Kubernetes), CI/CD
Preferred skills
Node.js, REST APIs, Kafka, GenAI/LLM integration, observability tools (Grafana, Splunk, Prometheus), AWS
Technologies
Azure Databricks, Apache Spark, Python, SQL, Kafka, Docker, Kubernetes, Grafana, Splunk, Prometheus
Responsibilities
Design and optimize batch and real-time data pipelines; develop and maintain fact tables, dimensions, and gold layer tables; implement data quality checks and monitoring; tune Spark jobs and Delta Lake tables; partner with stakeholders to enable self-serve analytics.
Seniority
Mid-level, hands-on IC
