Data Architect

About the role

The Data Architect leads the design and implementation of the enterprise data architecture, translating business and data strategy into scalable, governed, and high-performing data platforms and solutions. The role is accountable for delivering the data architecture vision and enabling execution of the data strategy, including data models, pipelines, platforms, and integration patterns that support analytics, reporting, and operational use cases.

The Data Architect partners with business and IT stakeholders to ensure data is trusted, accessible, and aligned to enterprise architecture standards, while driving modernization and continuous improvement of data capabilities.

Responsibilities

• Translates enterprise data strategy into architecture, platforms, and implementation roadmaps aligned to business and analytics needs.
• Engages with business and IT stakeholders to gather requirements and define end-to-end data architecture solutions.
• Defines and governs enterprise data architecture standards, including data models, pipelines, integration patterns, and platform design.
• Designs and builds scalable data platforms and pipelines (data lakes, warehouses, cloud platforms) to support analytics and reporting.
• Establishes and enforces data modeling standards (logical, physical, dimensional) across systems and domains.
• Designs and optimizes data ingestion, transformation, and integration patterns (ETL/ELT) to ensure reliable data movement across systems.
• Ensures data architecture supports data quality, lineage, metadata, and governance frameworks aligned to enterprise standards.
• Collaborates with architects and engineers to define architecture enablers, guide solution design, and support implementation.
• Works with data engineering and Agile teams to ensure architecture is implemented effectively across delivery cycles.
• Leads evaluation and selection of data technologies, tools, and platforms, including proof-of-concepts (POCs).
• Develops and maintains data architecture roadmaps, including modernization, consolidation, and performance optimization.
• Drives modernization of legacy data and reporting platforms to improve scalability, performance, and usability.
• Ensures alignment between data, application, and infrastructure architecture.
• Participates in Agile/PI Planning to align teams to a shared technical direction and standards.
• Acts as a technical expert and leader, mentoring teams and driving adoption of best practices across data architecture and engineering.

Requirements

• Bachelor’s degree in computer science, engineering, or related field.
• 8+ years of experience in data architecture, data engineering, or data platform design.
• Strong experience designing and implementing data pipelines, data lakes, and data warehouses.
• Experience with cloud data platforms, (Azure Synapse, Data Factory, Fabric, Databricks, etc.).
• Deep understanding of data modeling, ETL/ELT patterns, and data integration.
• Experience implementing data architecture aligned to business and analytics needs.
• Strong collaboration skills across business, architecture, and engineering teams.
• Expertise in one or more of the following, but with versatility to grow in other areas: Microsoft stack of Data Tools & Technologies (SQL, SSIS, TSQL), Azure SQL Databases, Azure Blob storage, Azure App Services, Microsoft Azure Synapse, Data Factory & Fabric, Microsoft stack of Business Intelligence Tools (Power BI), Data Modeling (Idera ERStudio), Data Warehouse Design, Data Analytics Concepts.
• Strong organizational skills.
• Demonstrated success in managing and/or completing projects.
• SAFe Agile Delivery experience highly desirable.

Qualifications

• None specified

Skills

• None specified

Benefits

• Comprehensive Benefits Package
• Salary with bonus plan
• health, dental, life, and vision insurance
• Retirement : Traditional or Roth 401(k) Defined Contribution Plan PLUS Profit-Sharing Plan
• Work-Life Balance : Company-paid holidays; flexible scheduling; PTO; telecommuting options
• Education : Career Coaching; company-paid courses; student loan and tuition reimbursement
• Community : Charitable Match; paid volunteer time; team sponsorships
• Wellness : Employee Assistance Program; wellness initiatives/rewards; health coaching; and more

Pay

• Salary with bonus plan

Schedule

• Flexible Scheduling Opportunities