Key competencies
- 5+ years of hands-on experience in architecting cloud and data solutions on at least one hyperscaler
(AWS, Azure, or GCP).
- 7-10 years overall IT experience across architecture, engineering, or solution development roles.
- Strong presales background, including RFP/RFI response creation, scoping, estimating, and building
solution narratives.
- Proven ability to create high-level and low-level architecture, solution diagrams, and reference
architectures.
- Cloud certifications preferred AWS Solutions Architect, Azure Architect Expert, or GCP Professional
Cloud Architect.
- Experience with data platforms, analytics solutions, ETL/ELT pipelines, or data engineering concepts
(Databricks, Snowflake, Informatica, etc.) is an advantage.
- Familiarity with architecture frameworks such as TOGAF, and understanding of integration patterns,
APIs, and microservices (inspired by EA JD).
- Strong communication skills with ability to bridge business requirements and technical delivery.
- Experience collaborating with cross-functional teams including delivery, product engineering, and clientfacing
roles.
- Ability to evaluate emerging technologies and propose adoption aligned with business needs (picked
from EA JD).
- Educational qualifications: B.E./B.Tech/MCA or relevant technical degree.
