Data Architect

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 6 Month(s)

Skills

Data Architect
SQL
Azure cloud services
Azure SQL
Azure Data Factory
Azure Synapse
Azure Data Lake
Azure Functions
ETL
RLT
EHR
Big Data

Job Details

Data Architect 6+ Months Contract (Hybrid Cincinnati, OH) Location: Cincinnati, OH (Hybrid On-site once per month)
Interview Process: Phone + Video
Duration: 6 Months Contract

About the Role

We are seeking a highly skilled Data Architect to support a Medical Payments client in analyzing, redesigning, and optimizing their existing data environment. This role involves hands-on architecture work, modernization of large production systems, and implementing best-in-class data practices using SQL and Azure cloud services.

This position requires strong technical leadership, deep data architecture expertise, and the ability to translate business requirements into scalable, secure, and high-performing data solutions

Responsibilities

Design, architect, and maintain scalable, secure, and high-performing data platforms.

Lead migration and modernization initiatives across heavy-use production environments.

Develop and optimize data models, schemas, and integration strategies.

Implement data governance, security, and compliance frameworks.

Partner with business and technical stakeholders to define and deliver data solutions.

Ensure data quality, consistency, security, and accessibility across systems.

Required Qualifications

Bachelor s degree in Computer Science, Information Systems, or related field.

Proven experience as a Data Architect, Data Engineer, or similar role.

Strong proficiency in SQL (query tuning, indexing, stored procedures, performance optimization).

Hands-on experience with Azure data services, such as:

Azure SQL

Azure Data Factory

Azure Synapse

Azure Data Lake

Azure Functions

Deep understanding of data modeling, ETL/ELT processes, and data warehousing principles.

Knowledge of security best practices, compliance standards, and data governance frameworks.

Preferred Skills

Experience or understanding of Electronic Health Records (EHR) systems.

Familiarity with Big Data technologies (e.g., Databricks, Spark, Hadoop) or modern data platforms.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Black Rock Group