Data Architect

About the Role

Key Responsibilities

• Design and develop a robust data architecture that supports the organization's data needs, including data lake and data warehouse components
• Maintain and update existing architecture based on business needs
• Collaborate with data engineers, analysts, and business users to understand their requirements and translate them into technical solutions
• Help with data analysis and data flow across applications and systems
• Leverage Azure and Fabric services to build scalable and cost-effective data solutions
• Create conceptual, logical, and physical data models
• Ensure solutions are secure, scalable, and optimized for performance while adhering to company compliance and governance policies
• Compare alternative approaches to meet objectives
• Work across technical and non-technical teams
• Possess good organizational, decision-making, and logical troubleshooting skills
• Work in a fast-paced and changing environment
• Collaborate with internal teams on day-to-day application activities across clouds
• Own and deliver technical solutions for initiatives and projects
• Troubleshoot support issues and design new solutions with other technical leads
• Support integration and data flow across different applications
• Understand data requirements of transactions and systems

Requirements

• Bachelor's Degree or higher in Information Systems, Computer Science, or equivalent experience
• 2-4 Years Experience in Data Architecture framework components - Integration, Data Management and Data Consumption
• Proficiency in Azure Databricks and Microsoft Fabric
• Exposure to deploying data pipelines via Azure DevOps or GitHub Actions
• Strong understanding of business processes, architecture, and data models
• Working knowledge of Power BI for reporting, semantic model design, and DAX is a plus
• Exposure to Microsoft Purview for data quality, lineage, and compliance is a plus
• 2-4 years of Agile development experience
• Ability to learn new data frameworks and industry best practices
• Experience designing and implementing data pipelines for extraction, transformation, and loading from diverse sources
• Familiarity with batch and real-time data processing
• Proactive problem-solving skills and ability to handle complex issues
• Self-motivation and ability to manage multiple projects under tight deadlines
• Ability to adapt quickly to changing priorities and environments
• Experience working in a team-oriented, collaborative environment
• Strong communication and negotiation skills for internal and external stakeholders
• Travel readiness for up to 10% travel within North America

Nice to Have

• Strong knowledge of Microsoft Fabric components (Lakehouse, Dataflows, Pipelines, etc.)
• Proficient with Azure services such as Synapse, Data Factory, Data Lake Storage, SQL DB
• Azure Data Engineer Associate certification

Qualifications

• Bachelor's Degree or higher in Information Systems, Computer Science, or equivalent experience
• 2-4 Years Experience in Data Architecture framework components

Benefits & Perks

• High Performance Culture
• Focus on Diversity, Equity and Inclusion
• Teamwork and Collaboration
• Rewards and Recognition
• Learning & Development Opportunities Across Multiple Business Units
• Competitive compensation packages
• Hybrid work model
• Comprehensive benefits
• Paid Parental Care Leave
• Educational Assistance
• Volunteer time off
• Total Well Being Program
• Employee Referral Program