Back
Strong Tier‑1 brand and Bangalore metro increase competition, but senior, niche role limits applicant pool.
Highly specialized enterprise AI-data platform skills transfer across industries but favor regulated sectors, so moderate sensitivity.
Explicit 18+ years and extensive mandatory architecture, governance, and regulatory requirements make filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead architecture and implementation of AI-first enterprise data platforms supporting AI/ML, Generative AI, Agentic AI, and advanced analytics across ingestion, processing, storage, and semantic layers.
Define and enforce enterprise data strategy, architecture standards, governance, security, and data trust frameworks compliant with HIPAA, GDPR, and PII regulations.
Drive platform reliability, scalability, performance, and modernization initiatives while collaborating with AI/ML engineers and mentoring engineering teams.
Bachelor's degree in Computer Science, Engineering, Information Systems, Data Engineering, or related field; Master's preferred.
18+ years of experience in Data Architecture, Data Engineering, or related disciplines including large-scale enterprise data platforms for analytics and AI applications.
Proven expertise in AI-ready data platforms including feature stores, semantic indexing, embedding pipelines, secure architectures (RBAC, encryption) and regulations compliance (HIPAA, GDPR).
Strong programming skills in Python and SQL and experience with modern architecture patterns (Lakehouse, Medallion, Lambda/Kappa).
Senior-level data architecture expert with deep experience in AI/ML-enabled, AI-first enterprise data platforms within regulated industries such as healthcare or financial services.
Strategic leader skilled at enterprise-level data governance, platform modernization, and cross-functional influence of architecture strategy and standards.
Experienced mentor and collaborator who can bridge AI data engineering needs with scalable, secure, governed platform development and semantic knowledge architectures.