Data Architect – Only 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.

Required Skills and Experience

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, DevOps, and Git‑based development.

Ability to translate business requirements into technical architecture.

Technical Expertise

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

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