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Principal Data Architect - Data & AI Platforms
Nextgen Invent Corporation•United States•🌍 Remote
Full-timeSenior
👁️ 0 views•📝 0 applications•Posted 9/18/2026•Expires 11/17/2026
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Job Description
Experience: 10+ Years Location: WFH / Remote (India) Open Positions: Multiple Qualification: B. Tech / M.
Tech / MCA orequivalent Work Timings: 1:30 PM IST – 10:30 PM IST Functional Area: Data Engineering Position Summary NextGen Invent isseeking a highly experienced Principal Data Architect to lead the design,modernization, and governance of enterprise-scale Data & AI platforms.
Theideal candidate will possess deep expertise across Data Architecture, DataEngineering, Cloud Platforms, Analytics, Data Governance, AI/ML Enablement, andEnterprise Data Modernization.
This role requires ahands-on architect capable of defining enterprise data strategies while drivingtechnical execution across modern cloud-native data ecosystems.
The candidatewill serve as a trusted advisor to business and technology leadership and leadlarge-scale transformation initiatives involving Snowflake, Databricks, AWS,and Azure.
Key Responsibilities
Enterprise Data Architecture Define enterprise data architecture strategy, standards, and best practices. Design scalable Data Lake, Lakehouse, Data Warehouse, and Real-Time Analytics solutions. Create architecture blueprints, reference architectures, and modernization roadmaps.
Lead migration from legacy Hadoop/Data Warehouse platforms to modern cloud-based architectures. Data Platform Leadership Architect enterprise data platforms leveraging Snowflake, Databricks, AWS, and Azure. Design Medallion Architecture (Bronze/Silver/Gold) and Lakehouse solutions.
Build frameworks for ingestion, transformation, governance, and analytics. Establish platform scalability, reliability, observability, and cost optimization strategies. Modern Data Engineering Design large-scale batch and streaming data platforms.
Architect solutions utilizing Spark, Kafka, Delta Lake, Delta Live Tables, Snowpipe, Streams & Tasks. Guide implementation of real-time and event-driven data pipelines. Drive performance optimization and operational excellence. Cloud Architecture Architect mu
Required Skills
AWSAzureData EngineeringData WarehousingHadoopKafkaLeadershipMachine LearningSnowflakeSpark
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