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