Data Architect

Primary Responsibilities

• Develop, implement, and maintain enterprise data architecture standards, frameworks, design patterns, and best practices to ensure consistency, scalability, security, and maintainability across the company's data platforms and solutions.
• Develop and maintain logical, physical, dimensional, and semantic data models. Design enterprise database architectures, backend data structures, and scalable schema designs that support business applications, integrations, analytics, and AI initiatives.
• Design and oversee enterprise data integration solutions, including APIs, ELT/ETL processes, cloud platforms, and reporting environments, ensuring scalable, secure, and reliable data movement
• Partner with Data Engineers to design scalable lakehouse, warehouse, and data pipeline solutions using Microsoft Fabric, SQL, and Azure technologies.
• Work with business stakeholders to understand data requirements and translate them into technical designs.
• Assist in establishing and maintaining enterprise data governance and compliance practices, including data quality, data ownership, stewardship, classification, and retention standards.
• Provide architectural guidance for databases optimization, indexing strategies, partitioning, and performance tuning to support enterprise-scale workloads
• Review data solutions for alignment with architecture standards, security requirements, and business objectives while maintaining documentation, data catalogs and lineage information.
• Design enterprise data platform architectures that support disaster recovery, backup, business continuity, and high availability requirements.
• Support the development of AI-ready data platforms that enable advanced analytics, machine learning, automation, and future AI initiatives.
• Provide analytical and problem-solving expertise to evaluate data-related opportunities, and decisions and communication them to relevant parties within the organization.
• Collaborate effectively with technical and non-technical stakeholders to gather requirements, align priorities, and deliver enterprise data solutions.
• Perform other duties as assigned.

Position Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, or equivalent experience is required.
  • Master’s degree is preferred.
  • Minimum of 5 years of experience in data architecture, data engineering, database administration, analytics engineering, enterprise data architecture or related disciplines is required.
  • Experience documenting and communicating technical architecture decisions and recommendations is required.
  • Experience supporting cloud modernization, digital transformation, or enterprise data platform initiatives is preferred.
  • Microsoft Fabric, Azure Data Engineer, Azure Data Fundamentals, or related certifications, are preferred.
  • Relevant certifications such as Certified Data Management Professional, Microsoft data certifications, or similar, are preferred.
  • Experience working with Microsoft Fabric, SQL Server, Azure SQL, data warehouses, data lakes, Data Factory or lakehouse architectures is required.
  • Proficiency in SQL and working with relational and analytical data structures is required.
  • Strong understanding of data architecture principles, data modeling, database design, and integration patterns is required.
  • Knowledge of DAMA-DMBOK principles, data governance frameworks, and enterprise data management best practices is required.
  • Understanding of security, access controls, privacy requirements, and compliance considerations related to enterprise data is required.
  • Experience designing data models for operational reporting, business intelligence, and KPI Frameworks and analytics solutions is preferred.
  • Experience supporting AI, machine learning, Copilot, or advanced analytics initiatives is preferred.

Benefits and Perks

• Flexible and Hybrid Work Schedule
• Paid Time Off - Credited to You 100% Upfront
• 401K with a Company Match
• Rewards and Recognition Program
• Training and Development to Foster Professional Growth
• Paid Holidays
• Medical / Dental / Vision Coverage
• Welcome Box
• Casual Dress Code
• Reimbursement for Professional Licenses
• Paid Time Off for Community Team Service Events
• Voluntary or Supplemental Short-Term / Long-Term Disability
• Employee Assistance Program
• Company Paid Bonding and Recovery
• Employee Events such as Lunches and Outings to Foster a Positive Work Environment