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Open nowFirst seen 2 days ago

Principal Data Architect - Data & AI Platforms

Nextgen Invent Corporation11 open roles

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Your applicationOpen nowPrincipal Data Architect - Data & AI PlatformsNextgen Invent Corporation

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.5%14 days
  5. 35.5%30 days
  6. 45.1%60 days
This job: first seen 2 days ago

The posting

Experience: 10+ Years

Location: WFH / Remote (India)

Open Positions: Multiple

Qualification: B.Tech / M.Tech / MCA or equivalent

Work Timings: 1:30 PM IST – 10:30 PM IST

Functional Area: Data Engineering

Position Summary

NextGen Invent is seeking a highly experienced Principal Data Architect to lead the design, modernization, and governance of enterprise-scale Data & AI platforms. The ideal candidate will possess deep expertise across Data Architecture, Data Engineering, Cloud Platforms, Analytics, Data Governance, AI/ML Enablement, and Enterprise Data Modernization.

This role requires a hands-on architect capable of defining enterprise data strategies while driving technical execution across modern cloud-native data ecosystems. The candidate will serve as a trusted advisor to business and technology leadership and lead large-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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