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Metro Bangalore senior data-manager with multi-cloud and leadership requirements yields moderate applicant competition.
Core data engineering skills are transferable, though manufacturing analytics preference raises domain specificity slightly.
Explicit 10–12 years, multi-cloud architecture, hands-on data pipelines, and leadership make filters strict.
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Lead end-to-end architecture and delivery of scalable, secure, and production-ready data solutions and products on GCP and AWS.
Drive technical standards, mentoring, and best practices within the data engineering teams to ensure robust and reusable data products.
Collaborate with platform architects and stakeholders to align solutions with enterprise architecture, operational readiness, and business outcomes.
8+ years of experience in data engineering, data architecture, or data platform roles.
Proven hands-on experience architecting and delivering data solutions on both GCP and AWS.
Strong programming skills in Python and SQL with experience in modern data frameworks.
Work Experience Required: 8+ years
Experienced technical leader comfortable making architectural decisions under real-world constraints and mentoring engineers.
Background in building both batch and streaming data pipelines with cloud-native design principles on multi-cloud platforms (GCP and AWS).
Demonstrated ability to translate complex business requirements into production-grade data products supporting analytics and AI/ML use cases.