Data Architect

Shazam, Inc.

$90K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field required.
  • 5+ years of experience in data architecture, data engineering, or data analytics necessary.
  • Proficiency in Snowflake, including data modeling and integration, is strongly preferred.
  • Advanced expertise in data architecture and governance across various data environments.
  • Excellent communication skills for both technical and non-technical audiences.

Responsibilities

  • Design and maintain enterprise data architecture, databases, and data pipelines.
  • Define and execute long-term data architecture strategy and roadmap.
  • Evaluate business data requirements for scalable solutions.
  • Lead data modeling efforts for various data environments.
  • Oversee data integration and governance practices to ensure data accuracy.
  • Partner with stakeholders to deliver actionable insights and analytics solutions.
  • Provide technical leadership and mentorship to data teams.

Benefits

  • Mission-driven company with a strong sense of purpose.
  • Hybrid work environment that emphasizes flexibility and collaboration.
  • Opportunities for professional development and career advancement.
  • Culture centered on innovation, integrity, and community impact.
  • Comprehensive health, dental, and vision insurance.
  • 401(k) retirement plan with company match.
  • Flexible spending and health savings accounts available.
  • Life insurance and disability coverage provided at no cost.
  • Generous time away from work, including PTO and paid parental leave.
  • Educational assistance offered for continued learning.
Full Job Description
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 complex, enterprise-wide initiatives.
  • Strong problem-solving, critical thinking, and decision-making capabilities with a focus on delivering scalable and sustainable solutions.


What's in it for you:
  • A mission-driven company with a strong sense of purpose
  • A hybrid work environment that values flexibility and collaboration
  • Opportunities for professional development and career growth
  • A culture that values innovation, integrity, and community impact
  • Excellent benefits:
    • Health, dental, and vision insurance
    • 401(k) retirement plan with company match
    • Flexible spending and health savings accounts
    • Life insurance and short- and long-term disability provided at no cost
    • Time away from work - PTO, VTO, paid parental leave, and company holidays
    • Educational assistance


Actual compensation is based on various factors, such as geographic location, experience, education, and/or skill level, and is finalized at the time of offer.

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