Staff Data Engineer, Salesforce

• 7+ years of experience working in data architecture, data modeling, master data management, metadata management
• Recent accomplishments working with relational methods and approaches (logging, columnar, star and snowflake, dimensional modeling)
• A consistent track record in scaling and optimizing schemas, performance tuning SQL and ETL pipelines in OLAP and Data Warehouse environments
• Airflow or any workflow management platform for data engineering pipelines orchestration
• Proficiency in coding through the use of with Python and SQL
• Familiar with data governance frameworks, SDLC, and Agile methodology
• Excellent written and verbal communication and interpersonal skills, and ability to efficiently collaborate with technical and business partners
• Bachelor's degree in Computer Science, Engineering or a related field, equivalent training, fellowship, or work experience

Desirable

• In this role, you will partner cross-functionally with business domain partners, analytics, and engineering to craft and implement our data model
• You will design, build and scale data pipelines that transform billions of records into measurable data that enable insights
• You will work on initiatives that directly key decision makers within our Enterprise customer base by building and scaling our data models that provide key adoption and engagement metrics
• Translate business requirements into data models that are easy to understand and used by different subject areas
• Design, implement and build data models and pipelines that deliver data with measurable quality under the SLA
• Partner with product teams, data analysts and engineering teams to build foundational data sets that are trusted, well understood, and aligned with business strategy
• Be a champion of the overall strategy for data across multiple teams and different use cases
• Increase access to foundational company metrics through process and technical foundations
• Identify, document and promote data engineering standard methodologies throughout Slack