Back
Popular mid-senior data role, Bangalore metro, and broad cloud/data skillset increase applicant competition.
Core data architecture skills are transferable, but governance and compliance experience increases industry specificity.
Explicit 8+ years requirement and must-have Snowflake/AWS/Python and governance skills enforce strict filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and implement scalable, secure enterprise data architecture and platforms supporting analytics, compliance, and operations.
Lead integration of internal and third-party systems and establish data quality, metadata, lineage, and classification standards.
Drive data governance, support data risk reviews, maintain architecture performance, and lead data strategy for AI/ML and digital transformation.
8+ years of experience in data architecture, data engineering, or enterprise data management.
Strong hands-on experience with cloud data platforms (Snowflake) and AWS data engineering services (S3, Glue, Redshift, Lambda).
Proven experience owning or leading enterprise data architecture with support for analytics, AI/ML, and data warehousing at scale.
Bachelor’s degree in Cyber Security, Computer Science, or related field (or equivalent experience).
Experienced leader capable of driving enterprise-level data strategy and architecture decisions across cross-functional teams.
Strong technical background with hands-on expertise in data modeling, APIs, system integration, and data governance concepts.
Skilled communicator able to collaborate effectively with clients, stakeholders, and multiple business functions.