Design and implement scalable streaming data platforms to support real-time ingestion, processing, and analytics
Architect and guide the development of end-to-end data platforms across batch and streaming workloads
Lead and contribute to Master Data Management (MDM) solutions, including:
Golden record design
Data matching, survivorship, and hierarchy management
Integration patterns with downstream consumers
Define and implement data governance frameworks, including:
Data ownership and stewardship models
Data quality rules and monitoring
Metadata, lineage, and access controls
Collaborate with application teams to expose data via APIs and event-driven architectures
Provide architectural guidance for cloud-native deployments, including containerization and orchestration
Establish data architecture standards, patterns, and best practices
Partner with DevOps teams to enable CI/CD, infrastructure automation, and platform reliability
Review designs, mentor engineers, and help drive technical decisions across projects

Experience : 8–12+ years in data engineering and architecture roles
Strong experience designing streaming data platforms (Kafka, MSK, Kinesis, or similar)
Proven hands-on experience building or leading MDM implementations
Solid understanding of data governance principles and real-world implementation
Experience designing event-driven and API-first data architectures
Deep knowledge of data modeling (canonical models, domain-driven design concepts)
Ability to translate business requirements into scalable technical solutions
Good Communication Skills

Principal Data Architect – Streaming, Data Platforms

Key skills