Enterprise Architect – Data, Cloud & AI

We are looking for a highly experienced Enterprise Architect to define and drive enterprise technology strategy across Data Platforms, Cloud, AI/ML, Analytics, and Enterprise Integration.

Key Responsibilities:

• Define enterprise architecture standards, roadmaps, governance, and technology strategies.
• Architect enterprise-scale Data Lakehouse, Data Warehouse, Data Mesh, and Data Fabric platforms.
• Lead architecture for Databricks, Snowflake, Hadoop, Spark, Kafka, ETL/ELT, and real-time data pipelines.
• Design and drive AWS, Azure, and GCP cloud modernization, security, scalability, IaC, CI/CD, and FinOps.
• Define AI/ML, MLOps, Generative AI, LLM, Agentic AI, RAG, and Vector Database architectures.
• Establish API, Microservices, Event-Driven, REST, GraphQL, and enterprise integration strategies.
• Define enterprise quality engineering, test automation, observability, and performance standards.
• Partner with executives, customers, architects, and engineering teams to drive digital transformation and innovation.

Must-Have Skills:

• Enterprise Architecture & Technology Strategy
• Databricks, Snowflake, Hadoop, Delta Lake
• Apache Spark / PySpark / Kafka
• ETL/ELT & Data Engineering
• AWS / Azure / GCP
• Terraform / CloudFormation / CI/CD
• AI/ML, MLOps, GenAI, LLM, RAG
• REST APIs / GraphQL / Microservices / Event-Driven Architecture
• Docker / Kubernetes
• SQL Server / PostgreSQL / Oracle / NoSQL
• Data Governance, Security & Observability
• Executive Stakeholder & Customer Management