Responsibilities

• Lead implementation of complex data systems and pipelines spanning multiple data sources and destinations within established data architecture frameworks
• Write exemplary data transformation code demonstrating data engineering best practices in critical systems as technical reference for teams
• Establish and enforce data quality standards, pipeline patterns, and data engineering best practices across multiple teams in data domain
• Conduct high-impact code reviews focusing on data quality, performance, and long-term maintainability of data systems
• Lead incident response for major data pipeline failures including coordination and post-mortem facilitation

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related technical field, or equivalent experience; Master’s degree beneficial
• 6-10 years of experience building enterprise data solutions and leading data infrastructure initiatives across engineering teams, or equivalent
• Proven experience designing data system architectures for a domain balancing data requirements and constraints; track record of driving data pipeline design decisions across multiple teams
• Deep knowledge of relational databases, NoSQL databases, cloud data warehouses, and selecting appropriate storage solutions for use cases; experience designing complex data architectures across multiple storage systems
• Demonstrated ability to establish data quality standards, quality and governance frameworks, and monitoring practices across a domain
• Experience with Azure Cloud, Azure Databricks, Snowflake for data pipeline creation.
• Experience in data pipeline modernization and migration via Databricks Delta Live Tables (DLT) and Unity Catalog

Preferred

• Acknowledges the presence of choice in every moment and takes personal responsibility for their life.
• Possesses an entrepreneurial spirit and continuously innovates to achieve great results.
• Communicates with honesty and kindness and creates the space for others to do the same.

Benefits

• Extended health and dental benefits, and mental health plans
• Paid time off
• Savings and retirement plan matching
• Generous employee discount
• Fitness & yoga classes
• Parenthood top-up
• Extensive catalog of development course offerings
• People networks, mentorship programs, and leadership series (to name a few)