Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
10 years of experience with Big Data technologies, analytic warehousing technologies, data processing technologies, and performance and scalability optimizations.
Experience in delivering technical presentations while leading discovery and planning sessions that are aligned with the customer's defined scope and success criteria.
Preferred qualifications:
Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (e.g. ETL/ELT), data migrations, data visualization tools, and data governance on cloud native architectures.
Experience with technical sales or professional consulting in the fields of cloud computing, data analytics, and Big Data.
Experience with architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems.
Knowledge of cloud computing and cloud market, engaged dynamics, and customer buying behavior.
Understanding of customer requirements, with the ability to break down the requirements and design a technical architecture.