Designing for testability, deployability, and releaseability

Rapid prototyping, data modeling, and decentralized innovation

Experience working on Data products handling intensive data applications

Experience working on Data mesh architecture

Knowledge of real-time streaming architectures

Experience with Kubernetes hosting and managing applications

DataOps mindset for continuous evolution of system architecture

Creating and maintaining Architectural Runway and Non-Functional Requirements

Designing for Continuous Delivery Pipeline (CI/CD data pipeline) enabling Built-in Quality & Security

Understanding and ideally use of recognized architecture frameworks or standards like TOGAF, Zachman Architecture Framework

Applying data, research, and professional judgment to ensure product impact

Excellent written, verbal, and social skills for effective communication

Ability to work independently in a fast-paced, multiple project environment

Technologies: AWS, Azure; Azure Synapse, Ni-fi, RDS, Apache Spark & Kafka, Azure Databricks, Azure Datalake storage, Power BI, Reporting Analytics, SQL on-prem Datawarehouse; BSS, OSS & Enterprise Support Systems

Big Data Architect