Data Architect – Local to Arizona

Key Responsibilities

• Design scalable data lake and data architectures using Databricks and cloud-native services.
• Develop metadata‑driven, parameterized ingestion frameworks and multi‑layer data architectures.
• Optimize data workloads and performance.
• Define data governance frameworks for CHP.
• Design and develop robust data pipelines.
• Architect AI systems, including RAG workflows and prompt engineering.
• Lead cloud migration initiatives from legacy systems to modern data platforms.
• Provide architectural guidance, best practices, and technical leadership across teams.
• Build documentation, reusable modules, and standardized patterns.

• Strong expertise in cloud platforms, primarily Azure or AWS.
• Hands‑on experience with Databricks.
• Deep proficiency in Python and SQL.
• Expertise in building ETL/ELT pipelines and ADF workflows.
• Experience architecting data lakes and implementing data governance frameworks.
• Hands‑on experience with CI/CD, Dev Ops, and Git‑based development.
• Ability to translate business requirements into technical architecture.

• Programming:
  Python, SQL, R
• Big Data:
  Hadoop, Spark, Kafka, Hive
• Cloud Platforms:
  Azure (ADF, Databricks, Azure OpenAI), AWS
• Data Warehousing:
  Redshift, SQL Server
• ETL/ELT Tools: SSIS