Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 employer, metro Bangalore, and a broad, visible Solutions Architect data role attract high candidate competition.
Core data engineering and cloud skills are transferable, but enterprise Lakehouse and Databricks expertise increases domain sensitivity.
Multiple mandatory years, big-data/cloud skills, and coding requirements create a highly strict shortlisting process.
Serve as trusted technical advisor for strategic named accounts, influencing their data and AI architectural decisions.
Drive customer AI strategies including GenAI and ML architecture design and implementations on Databricks platform.
Collaborate with sales and product teams to develop account strategies, deliver proofs of concept, and align architectures internationally.
12+ years in data engineering, data science, technical architecture, or similar pre-sales/consulting role.
8+ years hands-on experience with Big Data and AI technologies (e.g., Apache Spark, AI/ML workloads).
Proven experience with large enterprise or Fortune 500 customers; supporting global accounts preferred.
Hands-on cloud experience with AWS, Azure, or GCP; available for regional and occasional international travel.
Expert in end-to-end data and AI solution architecture with strong hands-on design and build skills.
Experienced consulting externally across industries with deep strategic engagement at executive levels.
Comfortable working collaboratively across geographies and interfacing with sales, engineering, and product teams to influence technology roadmaps.