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Senior (13+ years) and niche cloud data architecture reduces applicant density despite Bangalore metro.
Core data platform and cloud skills are transferable, though regulated-domain experience is preferred.
Explicit 12–13+ years and many mandatory platform, cloud, and architecture requirements.
Lead design and evolution of enterprise-scale cloud-based data architectures supporting analytics, reporting, and operations.
Define data strategy, models, governance standards, and scalable data solutions in collaboration with engineering, analytics, DevOps, and business teams.
Provide architectural guidance, evaluate emerging technologies, and mentor teams to ensure platform scalability, performance, and cost efficiency.
12+ years experience in data engineering, analytics, or data architecture roles.
Proven experience designing and implementing enterprise-scale data architectures on public cloud platforms (AWS, Azure, GCP).
Strong knowledge of data warehousing, data lakes, batch and real-time data processing, and data modeling principles.
Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience.
Experienced in cloud-native data platforms and modern analytical architectures including data lakes, warehouses, and lakehouse technologies.
Demonstrated ability to lead technical teams and provide mentorship in architecture best practices.
Familiarity with regulated enterprise domains and modern tools such as Apache Spark, Databricks, Snowflake, and CI/CD infrastructure as code frameworks.