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Data Architect

Job in Johnston, Polk County, Iowa, 50131, USA
Listing for: Shazam
Full Time position
Listed on 2026-06-26
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Data Analyst
Salary/Wage Range or Industry Benchmark: 120000 - 170000 USD Yearly USD 120000.00 170000.00 YEAR
Job Description & How to Apply Below

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Data Architect

Regular Full-Time Professionals Johnston, IA, US

3 days ago Requisition

Salary Range: $ To $ Annually

SHAZAM recognizes that financial institutions build better communities, and this drives our passion to strengthen financial institutions. We are a trusted partner to our valued customers providing answers, choice, and innovation with an impeccable level of customer service – a level unmatched in the industry.

And here’s the best part - we’re a national company that offers a small-company feel, a cultural balance that’s hard to come by but very real r growth and development are top priorities and you’ll be surrounded by talented individuals and postured to make a real difference in the company. As a team member at SHAZAM, you’ll be an essential part of our mission as we work together strengthening financial institutions.

The ideal candidate will be based in our Johnston, IA office and work in a hybrid capacity. Remote candidates may also be considered.

What we’re looking for:

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.

What you'll do:
  • 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.
What you need:
  • 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…
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