Application Architect – Data Management

Experience: 14+ Years

Role Overview

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.

Required Qualifications:

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.

Preferred Qualifications:

Experience supporting healthcare data platforms or other complex, regulated environments.

Experience with data governance, metadata management, data lineage, and privacy or security controls.

Availability to begin promptly.