Solutions Architect – Data

Job Title: Solutions Architect - Data
Location: Phoenix, AZ
Work Type: Onsite
Duration: 06 Months of Contract
LinkedIn Profile: Required for Submission

NOTE: NO H1B // Local Candidates with DL

Primary Skills: Solutions Architecture; Cloud Data Architecture; Azure; AWS; Databricks; ETL / ELT Pipeline Design ; Data Lake Architecture; Python; SQL; Azure Data Factory (ADF); Data Governance & Data Quality; Big Data Technologies (Spark, Hadoop, Kafka); AI Architecture (RAG, Prompt Engineering); CI/CD; DevOps; Git; Cloud Migration; Stakeholder & Cross-Team Collaboration

Job Overview
The Solutions Architect - Data is responsible for contributing to the design, modernization, optimization, and ongoing operations of enterprise-scale data systems for CHP. This role focuses on designing and implementing data solutions that organize, store, and manage data within a cloud-based data platform.
The architect will perform continuous maintenance and operational support within the cloud environment, including reviewing existing data infrastructure, planning future database solutions, and implementing systems that support data management needs for CHP users.
This role is also accountable for ensuring data integrity and governance, ensuring adherence to standards that maintain accuracy, consistency, and reliability across systems. The architect will identify data quality issues, analyze discrepancies, and drive resolution efforts.
The position requires a strong balance of architectural leadership, technical expertise, and collaboration with business stakeholders, data engineers, machine learning practitioners, and domain experts to deliver scalable, secure, and reliable AI-driven solutions.
The ideal candidate will have demonstrated experience delivering end-to-end ETL/ELT pipelines across Databricks, Azure, and AWS environments.

Key Responsibilities
Design scalable data lake and enterprise data architectures using Databricks and cloud-native services
Develop metadata-driven, parameterized ingestion frameworks and multi-layer data architectures
Optimize data workloads and system performance
Define and enforce data governance frameworks for CHP
Design and develop reliable and scalable data pipelines
Architect AI systems, including RAG workflows and prompt engineering solutions
Lead cloud migration initiatives from legacy systems to modern data platforms
Provide architectural guidance, technical leadership, and best practices across teams
Create documentation, reusable components, and standardized architectural patterns

Required Skills and Experience
Strong expertise with cloud platforms, primarily Azure or AWS
Hands-on experience with Databricks
Strong proficiency in Python and SQL
Expertise in building ETL/ELT pipelines and ADF workflows
Experience designing 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 and architectural solutions

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

Education & Experience
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

Warm regards,
Vishal (Victor) Verma | Assistant Manager
vishal@nsitsolutions.com
NS IT Solutions
www.nsitsolutions.com