Data Architect
Prairie Consulting Services - New York, New York, United States
Work at Prairie Consulting Services
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Overview
This range is provided by Prairie Consulting Services. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$80.00/hr - $85.00/hr Direct message the job poster from Prairie Consulting Services Senior Technical Recruiter at Prairie Consulting Services
Data and Information Architect Digital Process Automation Team Location: Chicago, IL | Contract | Hybrid (3 days onsite) ONLY apply if you are physically in Chicago Are you a data visionary ready to shape enterprise-wide transformation? We’re looking for a strategic
Data and Information Architect
to join our
Digital Process Automation Architecture
team. In this role, you'll design scalable, secure, and future-ready data frameworks that support digital automation and data enablement across the enterprise. Lead enterprise-scale information architecture across key business capabilities and digital transformation initiatives. Develop standards for data modeling, taxonomy, vocabulary, and metadata to promote consistency and reuse. Translate business needs into robust data models, ingestion pipelines, and publishing solutions—optimized for scale and performance. Ensure adherence to data governance and security practices in collaboration with Information Security. Use frameworks like TOGAF and C4 to bridge current-state systems with modern, cloud-based architecture. Advocate for emerging data technologies including Azure Databricks and polyglot database environments. Core Skills and Technology 8+ years of experience in enterprise and cloud data architecture. Hands-on experience with Microsoft Azure, Azure Data Services, and Azure Databricks. Proficiency in SQL and data modeling tools. Strong experience with relational databases such as Oracle, SQL Server, and PostgreSQL. Familiarity with polyglot database environments, including Snowflake, MongoDB, CosmosDB, and Cassandra. Programming experience in Java and Python, including work with low-latency data processing systems. Deep knowledge of data governance, resiliency, and cloud security best practices. Familiarity with enterprise architecture methodologies such as TOGAF and C4 modeling. Strong communication and stakeholder engagement skills. Low Latency Data Processing Seniority level
Seniority level Mid-Senior level Employment type
Employment type Contract Job function
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