Job Description:
• Work directly with the VP of Data Engineering to help develop enterprise data strategy in collaboration with our business and technology partners
• Lead the architecture of enterprise data solutions, including data platforms, data modeling, integrations, and data DevOps
• Develop and maintain comprehensive data models that support business processes and analytics
• Implement best practices for data governance, data quality, and data security across the organization
• Ensure the alignment of data architecture with business goals and IT strategies
• Design and implement a medallion architecture in Snowflake (Bronze, Silver, Gold layers)
• Analyze raw data ingested into the Bronze layer, transform and cleanse it into the Silver layer, and consolidate it into a Gold layer as a single source of truth for enterprise analytics
• Collaborate with business and technical stakeholders to understand data across various systems, including ERPs, CRMs, transactional databases, and architect a medallion architecture in Snowflake
• Ensure data is appropriately cleansed, manipulated, enhanced, and transformed for analytical consumption
• Use tools like dbt to manage transformations and model dependencies across layers
• Develop and maintain architecture diagrams, data flow documentation, and implementation plans
• Provide guidance on data governance, quality, and security standards
• Design and oversee the architecture of our data engineering platform, ensuring scalability, reliability, security, and performance
• Provide architectural guidance for data engineering teams utilizing tools such as Apache Airflow, Snowflake, dbt, OpenFlow, Zapier, Postgres, SQL Server, and Tableau
• Collaborate with internal business partners to identify solutions and document functional requirements for new processes and existing issues
• Work directly with teams responsible for shaping how we acquire, collect and leverage data
• Collaborate with cross-functional teams, including IT, business analysts, and product managers, to understand data requirements and deliver effective solutions
• Stay current with industry trends and emerging technologies to continuously improve data architecture practices
Requirements:
• Proven experience as a Data Architect with a focus on Snowflake
• Strong proficiency in SQL
• Deep understanding of data warehousing concepts, dimensional and relational modeling, and ETL/ELT pipelines
• Experience working with ERP, CRM, and other transactional systems
• Excellent communication and collaboration skills with both technical and non-technical stakeholders
• Ability to create clear and effective architecture diagrams and project plans
• Familiarity with data governance, metadata management, and data quality frameworks
• Experience working with Master Data Management tools
Benefits:
• nationwide coverage for Medical, Dental, Vision, Life, and Disability insurance
• additional Voluntary Benefits
• 401(k) Retirement Savings Plan
• Health Savings Accounts (HSA)
• Flexible Spending Accounts (FSA)
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