About this role
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.