Data Solution Architect – Healthcare

Location: Newark, NJ (Hybrid – 2 days onsite per week)

Position Overview

We are seeking an experienced Data Solution Architect to support enterprise data modernization and transformation initiatives for a leading healthcare organization. This individual will be responsible for designing scalable, cloud-based data solutions that enable enterprise data integration, analytics, and modern data platform capabilities.

The ideal candidate will combine a strong foundation in solution architecture and application development with expertise in data engineering patterns, data integration architecture, cloud data services, and modern platforms such as Snowflake and Databricks.

Key Responsibilities

• Design end-to-end data solution architectures supporting enterprise data integration, engineering, analytics, and modernization initiatives.

• Develop scalable and reusable data engineering and integration patterns across cloud and hybrid environments.

• Architect solutions leveraging modern cloud data platforms, including Snowflake, Databricks, and AWS and/or Azure data services.

• Define architectural approaches for batch processing, real-time data ingestion, streaming, and event-driven data integration.

• Design solutions supporting ETL/ELT pipelines, data transformation, data movement, and orchestration across enterprise platforms.

• Collaborate with enterprise architects, data engineers, application teams, and business stakeholders to ensure solutions align with enterprise architecture standards.

• Establish architecture patterns for data lakes, data warehouses, lakehouse architectures, and enterprise data pipelines.

• Incorporate data security, governance, scalability, performance, and reliability considerations into solution designs.

• Evaluate emerging data technologies, integration tools, and cloud services for potential enterprise adoption.

• Provide technical guidance and participate in architecture reviews throughout the solution delivery lifecycle.

• Support integration between enterprise applications, APIs, messaging platforms, and modern data environments.

• Develop architectural diagrams, technical specifications, and reusable solution patterns.

Required Qualifications

• 7+ years of experience in software development, data engineering, data architecture, or solution architecture.

• Strong experience designing enterprise data solutions, including data engineering and data integration architectures.

• Hands-on architectural knowledge of Snowflake, Databricks, or comparable modern cloud data platforms.

• Strong understanding of AWS and/or Azure cloud-based data services and architecture patterns.

• Experience with ETL/ELT design, data ingestion, transformation, and orchestration patterns.

• Knowledge of batch and real-time data processing, including event-driven and streaming architectures.

• Experience designing data warehouse, data lake, or lakehouse solutions.

• Understanding of data modeling, data quality, metadata management, and data governance principles.

• Familiarity with APIs, microservices, and enterprise application integration.

• Understanding of containerization technologies, including Docker, Kubernetes, and/or OpenShift.

• Familiarity with CI/CD practices and automation within modern data engineering environments.

• Ability to create detailed architectural diagrams using Visio, Draw.io, or similar tools.

• Strong communication skills and the ability to translate business and technical requirements into scalable architectural designs.

Preferred Qualifications

• Experience within healthcare payer or provider environments, including claims, membership, clinical, provider, or healthcare analytics data.

• Experience with Databricks Delta Lake, Delta Live Tables/Lakeflow, or Snowflake data engineering capabilities.

• Familiarity with cloud data services such as Azure Data Factory, Azure Data Lake Storage, AWS Glue, Amazon S3, or related technologies.

• Experience with Kafka or similar event streaming and messaging technologies.

• Understanding of healthcare interoperability and clinical data exchange standards, including HL7 and FHIR.

• Experience with data platform modernization, legacy data migration, or enterprise analytics transformation.

• Familiarity with data security, access controls, and regulatory requirements associated with healthcare information.