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 multi-cloud solutions using AWS and Azure.
- Define cloud-native data integration patterns.
- Drive cloud cost governance and infrastructure optimization.
- Establish secure, scalable, and highly available platform architectures.
AI & Advanced Analytics Enablement
- Design AI-ready data architectures supporting ML, GenAI, and advanced analytics.
- Build foundations for RAG, Vector Search, Feature Stores, and MLOps.
- Collaborate with data science and AI teams to operationalize ML solutions.
- Enable enterprise self-service analytics and reporting.
Governance, Security & Compliance
- Define governance frameworks covering Data Quality, Lineage, Security, and Metadata Management.
- Implement RBAC, Data Masking, Column-Level Security, and Privacy Controls.
- Ensure compliance with HIPAA, GDPR, SOX, and enterprise security standards.
Leadership & Stakeholder Management
- Lead architecture governance across multiple delivery programs.
- Mentor architects, engineering leads, and data engineers.
- Partner with executive stakeholders to define strategic roadmaps.
- Drive large-scale transformation initiatives and platform adoption.
Required Experience
- 10+ years in Data Architecture and Data Platform Engineering.
- Proven experience designing enterprise-scale cloud data platforms.
- Strong background in Data Engineering, Big Data, Cloud Architecture, and Analytics.
- Experience leading enterprise data modernization and migration programs.
- Experience managing globally distributed teams and stakeholder engagement.
- Strong understanding of Agile, SAFe, and Product Ownership practices.
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