- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
- Experience managing teams, or experience leading engineering teams as a mentor or tech lead
- 10+ years of experience in data engineering, analytics architecture, or data platform consulting, with at least 3 years in a customer-facing solutions architecture or technical pre-sales role.
- Deep understanding of modern data platforms including data lakes, data warehouses, streaming architectures, lakehouse patterns, and ETL/ELT frameworks.
- Demonstrated experience leading complex technical engagements with enterprise customers in the data and analytics domain.
- Experience building and sustaining executive-level technical relationships (CDO, CTO, VP of Data/Engineering level).
- Knowledge of architecting data and analytics solutions on AWS or other cloud platforms.
- Experience driving competitive platform migrations from incumbent data platforms to AWS.
- Track record of developing reusable technical assets (reference architectures, migration accelerators, workshops) that scaled impact beyond individual engagements.
- Understanding of AI/ML technologies, including how generative AI complements data and analytics workloads.
- Experience in ASEAN markets with understanding of regional business dynamics, regulatory landscapes, and data sovereignty requirements.
- Experience working with field sales teams in a matrixed environment to drive deal progression and technical wins.
- Demonstrated thought leadership through published content, conference talks, or community contributions in the data and analytics space.
- Experience enabling customers/partners on AWS data architecture best practices and co-delivery models.
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