Data Architect

ITS Inc•Johnston, IA

4d•$120,000 - $170,000•Hybrid

About The Position

SHAZAM is looking for a Data Architect to join our team. In this role, you will be responsible for leading the execution of the enterprise data strategy and technical data ecosystem. In this role, you will define, design, and help guide the organization while partnering across business and technical teams to deliver scalable, high-quality data solutions.

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, along with 5+ years of experience in data architecture, data engineering, data analytics, or a similar discipline.
Proficiency with Snowflake strongly preferred, including data modeling, data integration, performance optimization, security, governance, and supporting enterprise-scale analytics and reporting solutions.
Advanced expertise in data architecture, data modeling, data governance, master data management, data integration, and ETL processes across relational, dimensional, multidimensional, and unstructured data environments.
Proven ability to analyze complex business and technical requirements, develop data-driven solutions, and translate findings into actionable business insights.
Knowledge of enterprise IT ecosystems, including infrastructure, security, middleware, integrations, and data platforms.
Ability to communicate effectively with technical and non-technical stakeholders at all levels of the organization.
Demonstrated leadership, project management, mentoring, and collaboration skills with the ability to influence and guide teams on complex, enterprise-wide initiatives.
Strong problem-solving, critical thinking, and decision-making capabilities with a focus on delivering scalable and sustainable solutions.

Responsibilities

Design, develop, and maintain enterprise data architecture, including databases, data warehouses, ETL processes, data pipelines, and data models as they relate to supporting our overall data strategy.
Work with management to define and execute the organization's long-term data architecture strategy, standards, and roadmap.
Evaluate business and technical data requirements to deliver scalable, secure, and high-quality data solutions.
Lead data modeling efforts across relational, dimensional, and multidimensional data environments.
Oversee data integration, movement, transformation, and governance practices to ensure accuracy, consistency, and accessibility of enterprise data.
Establish and maintain data dictionaries, metadata standards, and data quality processes.
Partner with business stakeholders to translate complex data into actionable insights, reports, dashboards, and analytics solutions.
Support and promote business intelligence capabilities, enabling teams to effectively utilize data for decision-making.
Serve as a subject matter expert for enterprise data services, providing guidance on data architecture, governance, modeling, and best practices.
Provide technical leadership and mentorship to data and technology teams while collaborating cross-functionally to align data initiatives with organizational goals.
Drive innovation through rapid prototyping, advanced analytics, and data-driven solutions that support business growth and operational excellence.