Sr. Technical Curriculum Developer - Data Warehousing/Analytics Engineering

Databricks is the data and AI company, and they are seeking a Sr. Technical Curriculum Developer to lead the design and development of enablement content for their Data Intelligence Platform. In this role, you will collaborate with product and engineering teams to create high-impact technical enablement materials and serve as a trusted advisor for data warehousing and analytics engineering.

Responsibilities:

• Serve as the trusted advisor/owner of data warehousing and data warehousing/analytics engineering enablement at Databricks
• Provide technical leadership to guide curriculum initiatives on modern data warehousing and Lakehouse architecture
• Work with subject-matter-experts and learning architects to scope and build data warehousing/architecture enablement material to enable our global customers, partners, and employees

Requirements:

• Passion/experience for sharing knowledge and expertise to enable others
• 5+ years experience in a technical role with expertise in data warehousing - such as query tuning, performance tuning, troubleshooting, data governance, debugging MPP data warehouses or other big data solutions, or migration workloads from EDW, CDW, or other systems
• Experience with design and implementation of data warehousing technologies including relational databases, SQL, data analytics, NoSQL, MPP, OLTP, and OLAP
• Experience in at least one of the following areas: Experience scaling large analytical data workloads in the cloud that are performant and cost-effective, Maintained, extended, or migrated a production data warehouse system to evolve with complex needs, including data modeling, data governance needs, and integration with business intelligence tools, Experience migrating on-premise EDW workloads to the public cloud
• Experience bridging the gap between data engineering and data analysis by transforming raw, siloed data into clean, documented, and reliable datasets for downstream users
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Production programming experience in SQL (expert level) and Python
• Passion for collaboration, life-long learning, and driving business value through enablement
• 2 years professional experience with data warehousing and big data technologies (Ex: Snowflake, SQL, Redshift, SAP, Synapse, EMR, OLAP & OLTP workloads)
• Can meet expectations for technical training and role-specific outcomes within 6 months of hire