Data Architect

The Data Architect is responsible for designing, building, and managing the data warehouse’s data architecture, ensuring it is scalable, secure, and optimized for performance. This position plays a crucial role in shaping our data strategy, working across multiple departments to design and implement a robust data ecosystem that supports our business intelligence, analytics, data apps, AI and data science initiatives.

The ideal candidate will have a deep understanding of data warehousing best practices, data modeling techniques, ETL/ELT processes, and cloud-based data platforms. The Data Architect will be a key partner in driving data-driven decisions and future-proofing Jazwares’ data platform for AI by providing the foundation for reliable, high-quality data.

• Design and maintain enterprise data architecture frameworks, standards, and best practices.
• Develop conceptual, logical, and physical data models to support business operations and strategic initiatives.
• Create and maintain data roadmaps aligned with organizational goals and technology strategies.
• Establish data architecture principles that promote scalability, performance, security, and accessibility.
• Data Integration & Management
• Design and develop data integration solutions and pipelines to consolidate data from multiple internal and external sources.
• Define and implement data flow, transformation, and storage strategies across enterprise systems.
• Support data migration, modernization, and cloud transformation initiatives.
• Ensure data consistency, accuracy, and integrity across platforms.
• Data Governance & Compliance
• Partner with business and technology leaders to establish data governance policies and procedures.
• Define data standards, metadata management practices, and master data management strategies.
• Ensure compliance with data privacy, security, and regulatory requirements.
• Support audit and risk management activities related to data management.
• Design data structures that support reporting, dashboards, predictive analytics, and AI initiatives, including the support and design of a Universal Semantic Layer.
• Collaborate with Data Engineers, Data Analysts, and Business Intelligence teams to optimize data accessibility and usability.
• Support self-service analytics capabilities through well-structured and governed data environments.
• Evaluate emerging technologies and recommend solutions that improve data architecture capabilities as needed.
• Provide technical oversight and guidance to project teams and stakeholders.
• Participate in enterprise architecture reviews and technology planning efforts, code reviews.
• Develop and maintain architecture documentation, standards, and technical specifications.

• Bachelor’s degree in computer science, computer information systems, or a related field is a plus.
• A Master’s degree in a related field is preferred.
• 5+ years of professional experience as a Data Architect, Enterprise Architect, or a similar role.
• 10+ years of experience with SQL, Data modeling, optimizing and structuring queries to be used across disparate datasets.
• 5+ years of experience designing and building data pipelines (e.g., Databricks, Snowflake, Glue, Azure Data Factory, dbt, etc.).
• 3+ years of experience deploying code using a source control product like Git Lab or Git Hub.
• Proven experience designing and implementing scalable data architectures in a cloud environment (e.g., AWS, Azure, GCP).
• In-depth knowledge of modern data modeling techniques (dimensional, relational, etc.) and cloud data warehousing principles.
• Expertise with cloud data warehouse solutions such as Databrick, Snowflake or Redshift.
• Proven experience in Data Ops, CI/CD (MLOps is a plus)
• Exceptional written, verbal, and listening communication skills, with the ability to effectively explain complex technical concepts to both technical and non-technical audiences.
• Demonstrated ability to manage multiple projects and resources simultaneously and prioritize effectively in a fast-paced environment.
• Excellent communication skills and willingness to meet with analytical clients and stakeholders to gather requirements and get a thorough understanding of the…