Remote Data Engineer

Summary

Join our team as a Data Architect and collaborate with business partners to identify business problems, generate ideas, and establish target state architecture to achieve business goals.

Requirements

• Bachelor’s degree in Computer Science or equivalent
• Experience with modeling HR data and Workday required
• 5+ years with advanced SQL and scripting (python/pyspark) development
• 2+ Experience with cloud-based infrastructure (databricks/redshift)
• 5+ years of enterprise data architecture, design patterns, tradeoff analysis, and delivery acceleration in cloud-native environments
• 3+ years of data solutions enabling Analytical, Operational, Data Science, and ML data flows
• 2+ years developing or working with taxonomies/ontologies
• Experience working/collaborating with Master Data Management and Data Governance
• Excellent verbal and written communications skills
• Ability to earn trust, maintain positive and professional relationships, and contribute to a culture of inclusion
• Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum

Responsibilities

• Collaborate with business partners to identify business problems, generate ideas to tackle the problems, test hypothesis through rapid prototyping and establish target state architecture to achieve business goals
• Define, publish, and communicate data strategy, standards, patterns, reference architectures, frameworks, and roadmaps to enable data sharing across the enterprise
• Partner with other architecture fields to design data solutions with a strong focus on security, scalability, observability, and operational excellence
• Apply the latest research and industry trends to build best-in-class enterprise data solutions for data consumers
• Be a hands-on architect. Build solution prototypes and conduct experiments to evaluate architectural alternatives
• Manage, Govern, and promote enterprise data model management practice
• Develop enterprise conceptual, logical, and physical data models for batch and streaming architectures

Preferred Qualifications

• Master's degree or higher in Computer Science, Mathematics, Statistics, or similar analytical field
• Experience with data modeling tools such as DBT