Ajna Infotech

Compensation

Full Description

Job Description Role: Solution Architect Location: Phoenix, AZ – (Remote) but Locals only for in-person interview Type: Contract Job Description • Data is responsible for contributing to the design, modernization, and optimization of enterprise-scale data systems, as well as the maintenance and operations strategy for client. • This role involves designing and implementing data systems that organize, store, and manage data within our cloud data platform. • The architect will perform continuous maintenance, and operations work for client in the cloud environment. • They will review and analyze client’s data infrastructure, plan future database solutions, and implement systems to support data management for client users. • Additionally, this role is accountable for ensuring data integrity, making sure the client team adheres to data governance standards to maintain accuracy, consistency, and reliability across all systems. • The architect will identify data discrepancies and quality issues, and work to resolve them. 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. • The ideal candidate will have a proven track record of delivering end-to-end ETL/ELT pipelines across Databricks, Azure, and AWS environments. 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 client. • 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 Additional Information All your information will be kept confidential according to EEO guidelines.