Job Description

This is a hybrid role, with onsite work in either Chicago, IL, or Houston, TX, requiring 2-3 days of onsite presence per week. Please submit candidates in either location!

Principal Data Architect

Chicago or Houston

12 Months Contract

Job Description :

Location: Chicago or Houston preferred. 2-3 days/ week onsite

Reason for the Need

We are looking for a results-oriented, meticulous, and experienced data architect to join our talented team. As a data architect, your responsibility will be to develop, optimize, and oversee the conceptual and logical data systems. You also should know how to review data system requirements as we build our cloud-native solution and implement migration models. Candidate needs to demonstrate proven experience in data analysis, management, and excellent analytical and problem-solving abilities to provide a 'north star/ for the PSS team from a data domain/data architecture perspective.

Must Have Skills

• 5+ years of experience in a data architect role, including enterprise data architecture models, systems integration, data systems, cloud technology, and planning/completing strategic roadmaps
• Demonstrated experience of taking ownership of the intake of business vision and translating the business vision to technical solution and architecture requirements - a mix of both a strategic leader and hands-on architect
• Excellent data modeling experience (5+ years)
• Experience working in a high-transaction AWS environment, including data quality checks with a reactive and proactive approach
• Experience with real-time data processing for high-input systems within AWS databases
• Deep knowledge of AWS Databases (Aurora, Dynamo, S3, Redshift, etc). Need to know the ins and outs of DBs on the cloud - deep knowledge

Responsibilities

• As a Principal Architect, represent the Software Engineering team while defining the strategy, architecture, and solution for our PSS system, as the Architect, and solve the strategy and architecture for our PSS system
• Define and build overall data design and modeling across all of the organization's data systems
• Data management across multiple data systems: data governance, data mastering, metadata management, data definitions, symantec-layer design, data taxonomies, and ontologies
• Architecting and delivering highly scalable, flexible, and cost-effective enterprise data solutions
• Coordinate with collaborator teams and own the conversation to define use cases, goals, objectives, and architecture to support the business needs.
• Build system and application architectures to achieve defined business needs
• Build relationships with senior leadership.

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