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