Bachelor's degree or equivalent practical experience.
6 years of experience with cloud native architecture in a customer-facing technical or support role, with demonstrated success.
Experience with Big Data concepts.
Experience leading technical proof-of-concept engagements and providing technical support for bid responses and request for information/request for proposal (RFI/RFP) processes.
Experience with machine learning platforms (e.g., Vertex AI), Machine Learning operations principles, model development, deployment, and of generative AI concepts and applications.
Preferred qualifications:
Experience with architecture design, implementing, tuning, schema design, design technical architectures, customer requirements and query optimization of scalable and distributed systems.
Experience with 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 aspects of cloud computing (infrastructure, storage, platforms and data), technical business, data analytics, or Big Data and the cloud market, competitive dynamics and customer buying behavior.
Ability to design and optimize solutions using leading data warehousing (e.g., BigQuery), data lake (e.g., Dataplex), and real-time analytics technologies.