Data Architect

Value City Furniture

  • Columbus, OH
  • Permanent
  • Full-time
  • 13 hours ago
At American Signature Inc., we believe everyone has the right to a well-furnished life. Since 1948, we have been helping families fill their homes with furniture they love. Our company includes more than 120 family-owned and operated stores. We are seeking a Data Architect to lead the design, modernization, and optimization of our enterprise data ecosystem and ensure our data infrastructure supports advanced analytics, business intelligence, and future growth.This role requires deep experience in AS/400 Enterprise Data Warehousing (EDW) and modern Google Cloud Platform (GCP) architectures, as well as proven expertise in integrating data platforms with enterprise reporting solutions such as MicroStrategy.This role also provides the opportunity to shape the enterprise data strategy while remaining hands-on in the technical delivery of bridging legacy EDWs with cloud innovation and enterprise reporting. In addition, the Data Architect will collaborate with business and technology leaders to drive data-driven decision-making.Why you’ll want to join our team:· Join a historic, family-owned business that has helped furnish the lives of customers for nearly 80 years· Comprehensive medical, dental, and vision benefits & 401K plan· Growth. Our team members are encouraged to develop and move into more challenging roles as their career progresses.· Employee discounts at our affiliate brands which include– Value City Furniture, American Signature Furniture, DSW, and American Eagle OutfittersWhat your day will look like:Data Architecture & Strategy· Define and drive the enterprise data architecture roadmap, aligning legacy AS/400 environments with cloud-native solutions.· Architect hybrid solutions that integrate AS/400 EDW with cloud solutions such as GCP Big Query, Dataflow, Pub/Sub, and Cloud Storage.· Establish frameworks for data modeling, governance, lineage, and security across platforms.· Architect data solutions and define the data models necessary to ensure the successful delivery of projects, enhancements, and maintenance of business initiatives.· Ensure scalability and performance of enterprise data systems to support advanced analytics and AI/ML initiatives.Platform Modernization & Integration· Lead the migration of legacy EDW workloads into cloud platforms while ensuring business continuity.· Design and optimize ETL/ELT pipelines (SQL, Python, dbt, Airflow, Spark) for both batch and streaming data.· Integrate the EDW with MicroStrategy reporting, enabling high-performance dashboards, analytics, and self-service BI.· Collaborate with infrastructure, applications, and analytics teams to ensure end-to-end data ecosystem efficiency.Data Governance & Security· Implement standards for data quality, compliance, and access controls across cloud and on-premises systems.· Partner with security and compliance teams to safeguard sensitive enterprise data.Collaboration & Leadership· Act as the data strategy advisor to business leaders and technology leaders.· Translate business requirements into scalable, sustainable architectural designs.· Mentor engineers, developers, and analysts on best practices in modern data architecture.· Champion innovation while balancing legacy constraints and operational needs.Requirements:Education & Experience· Bachelor’s or Master’s degree in computer science, Data Engineering, Information Systems, or related field.· 10+ years of experience in enterprise data architecture, including significant exposure to AS/400-based EDWs.· Hands-on experience with cloud data services. GCP experience and Azure experience preferred.· Proven expertise in integrating EDWs with MicroStrategy (or similar) reporting platforms.· Experience leading cloud migration, data modernization, and hybrid architecture.· Experience in designing and managing data architectures that support the acquisition, integration, and governance of customer data across various platforms.Skills· Strong proficiency in SQL, ETL/ELT tools, and data modeling.· Knowledge of Python, Spark, dbt, Airflow, and other modern data frameworks.· Understanding real-time and batch data processing architectures.· Expertise in data governance, metadata management, and security frameworks.
  • Excellent communication and stakeholder engagement skills, with the ability to influence both executives and technical teams.
  • Strong leadership and mentoring capabilities.
  • Analytical thinker with a track record of solving complex data challenges.

Value City Furniture