Bachelor's degree or equivalent practical experience.
10 years of experience with cloud native architecture in a customer-facing or support role.
Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Experience with Python libraries and frameworks.
Experience with Big Data technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.
Preferred qualifications:
Experience in technical sales or consulting in cloud computing, data analytics, or Big Data.
Experience with architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems.
Experience developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools, and data governance on cloud native architectures.
Experience with, or supporting State, Local, and Education customers.
Experience with aspects of cloud computing (infrastructure, storage, platforms and data), cloud market, competitive dynamics, and customer buying behavior.
Understanding of customer requirements, ability to break down requirements and design technical architectures.