S R INTERNATIONAL INC
AI Driven Solution Architect ETLELT Azure AWS
S R INTERNATIONAL INC, Phoenix, Arizona, United States, 85003
SOAZ-Req # 9150- AZDCS - Solutions Architect - Data (Local Only/Hybrid)
Closing Date & Time: 12/16/2025@ 2 PM
Solution Architect – Overview The ideal candidate should have a proven track record of delivering end-to-end ETL/ELT pipelines across Databricks, Azure, and AWS environments. This position requires a strong blend of architectural leadership, technical depth, and the ability to collaborate with business stakeholders, data engineers, machine learning practitioners, and domain experts to deliver scalable, secure, and reliable AI-driven solutions.
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
Required Educational Background
Bachelor’s degree in Computer Science, Information Technology, Information Systems, Engineering, or a related field.
6+ years of experience in data engineering or .NET development.
Note: Job open to current Arizona residents only.
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Closing Date & Time: 12/16/2025@ 2 PM
Solution Architect – Overview The ideal candidate should have a proven track record of delivering end-to-end ETL/ELT pipelines across Databricks, Azure, and AWS environments. This position requires a strong blend of architectural leadership, technical depth, and the ability to collaborate with business stakeholders, data engineers, machine learning practitioners, and domain experts to deliver scalable, secure, and reliable AI-driven solutions.
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
Required Educational Background
Bachelor’s degree in Computer Science, Information Technology, Information Systems, Engineering, or a related field.
6+ years of experience in data engineering or .NET development.
Note: Job open to current Arizona residents only.
#J-18808-Ljbffr