Join a fast‑moving team building data pipelines that power creative cloud experiences. You’ll work with Azure Databricks, Spark, and Python to deliver batch and real‑time analytics.
What You’ll Do
- Design, build, and maintain Azure Databricks pipelines using Spark and Python.
- Write optimized SQL for transformation, aggregation, and analytics workloads.
- Develop analytics‑ready data models including fact tables, dimensions, and metric layers.
- Optimize performance, reliability, and cost of Databricks jobs and Delta Lake tables.
- Collaborate with product, data science, and engineering teams for self‑serve analytics.
- Implement data quality checks, validation, and monitoring for trusted metrics.
- Contribute to integrating structured and unstructured data, including GenAI/LLM capabilities.
What You Need
- Bachelor’s degree in Computer Science or equivalent.
- Minimum 1 year software development experience.
- Proficiency in Python; working knowledge of Node.js and REST APIs.
- Experience with data pipelines on Databricks, Spark, or Kafka.
- Understanding of data modeling, warehousing, relational and columnar databases.
- Familiarity with AI/ML concepts and integrating ML/LLM models.
- Basic knowledge of Azure cloud services and container technologies.
Good to Have
- Experience with observability tools such as Grafana, Splunk or Prometheus.
- Hands‑on CI/CD pipeline work and Docker/Kubernetes experience.
- Background in Agile development processes.
The Opportunity
You’ll join a startup‑like environment inside Adobe, building the data backbone for Creative Cloud products. The team values excellence over shortcuts and supports continuous learning.