Senior Data Architect – Enterprise Data Platforms & AI (Remote)

Socket.dev; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

NextGen Invent is seeking a Principal Data Architect to lead design, modernization, and governance of enterprise-scale Data & AI platforms. The role demands hands-on architectural leadership across Snowflake, Databricks, AWS and Azure, driving data strategies and large-scale transformations.

The candidate will guide modern cloud-native data ecosystems, establish standards, and mentor teams while partnering with executives to deliver scalable data solutions and secure architectures.

Qualifications

• 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.

Responsibilities

• 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.
• Architect enterprise data platforms leveraging Snowflake, Databricks, AWS, and Azure.
• Design Medallion Architecture (Bronze/Silver/Gold) and Lakehouse solutions.
• Build ingestion, transformation, governance, and analytics frameworks.
• Establish platform scalability, reliability, observability, and cost optimization.
• 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.
• 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.
• 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.
• 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.
• 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.

Skills

Data Architecture

Data Platform Engineering

Cloud Platforms

Analytics

Data Governance

AI/ML Enablement

Education

B.Tech / M.Tech / MCA or equivalent

Tools

Snowflake

Databricks

AWS

Azure

Spark

Kafka

Delta Lake

Job description

NextGen Invent is seeking a Principal Data Architect to lead design, modernization, and governance of enterprise-scale Data & AI platforms. The role demands hands-on architectural leadership across Snowflake, Databricks, AWS and Azure, driving data strategies and large-scale transformations.

The candidate will guide modern cloud-native data ecosystems, establish standards, and mentor teams while partnering with executives to deliver scalable data solutions and secure architectures.