Jobs → Data & Analytics → Application Architect – Data Management

About the Role We are seeking an Application Architect to design and guide the delivery of scalable data management and analytics solutions for a large healthcare organization. The architect will shape end-to-end data platform designs, provide technical leadership to engineering teams, and ensure solutions meet standards for data quality, governance, security, and performance. Key Responsibilities • Define and document data architecture, integration patterns, and technical standards for enterprise data and analytics solutions. • Design and optimize batch and distributed data pipelines using Hadoop, HDFS, Hive, Teradata, Databricks, Azure Data Factory, Python, and PySpark. • Guide data processing and platform solutions across AWS and Azure environments. • Use Terraform to support infrastructure provisioning and repeatable environment configuration. • Design and oversee workflow scheduling, dependencies, monitoring, and recovery using Control-M. • Establish and implement data quality controls, validation rules, lineage, and reconciliation processes. • Assess data platform performance, scalability, reliability, and security; recommend and guide improvements. • Review technical designs and code, resolve complex issues, and mentor data engineering teams. • Partner with business, data, security, and infrastructure stakeholders to translate requirements into practical technical solutions. Requirements • Experience designing and delivering enterprise data management or data analytics architectures. • Hands-on experience with Hadoop, HDFS, Hive, Teradata, Databricks, Azure Data Factory, Python, and PySpark. • Experience working with AWS and Azure cloud data environments. • Experience with Terraform and Control-M in data platform or application delivery. • Strong understanding of ETL/ELT patterns, data modeling, distributed processing, and data quality practices. • Ability to communicate architecture decisions clearly and provide technical direction to delivery teams.