Azure Data Architect — Chicago, IL | Contract | Hybrid (3 days onsite)

DMS Vision•Frisco, AL

7h•Hybrid

About The Position

The Azure Data Architect will join the Digital Process Automation Architecture team to design scalable, secure, and future-ready data frameworks that support enterprise digital automation and data enablement. The role leads enterprise information architecture across business capabilities and digital transformation initiatives, translating business needs into data models, ingestion pipelines, and publishing solutions optimized for scale and performance. The architect establishes standards for data modeling, taxonomy, vocabulary, metadata, and governance, and ensures alignment with security practices in collaboration with Information Security. The role uses frameworks such as TOGAF and C4 to connect current-state systems with modern cloud architecture and advocates for emerging data technologies, including Azure Databricks and polyglot database environments. This is a contract role based in Chicago, Illinois, with a hybrid schedule requiring three days onsite. The posting says applicants must be local to Illinois and physically in Chicago.

Requirements

At least 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.
Must be local to Illinois and physically in Chicago.

Responsibilities

Lead enterprise information architecture for significant digital projects and transformation initiatives.
Establish standards for data modeling, taxonomy, vocabulary, metadata, and governance to promote consistency and reuse.
Translate business needs into data models, ingestion pipelines, and publishing solutions optimized for scale and performance.
Develop secure and robust data architecture solutions using Microsoft Azure, Azure Data Services, and Azure Databricks.
Design scalable, high-speed data pipelines using SQL, Java, and Python.
Work hands-on with relational and polyglot databases, including Oracle, SQL Server, PostgreSQL, Snowflake, MongoDB, and CosmosDB.
Ensure adherence to data governance, resiliency, and security practices in collaboration with Information Security.
Use TOGAF and C4 modeling to bridge existing systems with modern cloud-based architecture.
Collaborate with architecture, engineering, and Information Security teams to drive cloud adoption.
Advocate for emerging data technologies and polyglot database environments.