Data Architect @ IBM

Hands on - Lead Data Architect to define and govern the end-to-end enterprise data architecture for a modern, scalable Cloudera-based Lakehouse platform. This role demands technical competency and capabilities across multiple domains including CDC pipelines, Kafka streaming, real-time marts, MLOps/LLMOps frameworks, and data virtualization.
You will act as the Design Authority, ensuring architectural consistency, reusability, and compliance across all initiatives.Define and own the target state data architecture aligned with business and regulatory needs. * Serve as design authority across CDC ingestion, data lake zones (raw, curated, real-time), consumption layers, and AI enablement.
* Lead architecture governance reviews, ensure solution alignment to enterprise reference architecture.
* Deep expertise in Cloudera CDP,Apache Iceberg, Hive, Impala, Kafka, NiFi, Airflow. * Drive adoption of open table formats (e.g., Iceberg) and cataloging strategies.
* Evaluate and integrate tools for data quality, observability, lineage, and security (e.g., Ranger).
* Collaborate with CDO, CIO, and business units to translate enterprise goals into data capabilities.
* Support platform scalability, performance optimization, cost modeling, and cloud readiness.
* Coach teams and create reusable patterns and blueprints. * Guide ingestion architecture using Oracle GoldenGate, real-time log capture, schema evolution, and reconciliation.
* Design Kafka-based ingestion, stream processing, and event-driven microservices.
* Architect real-time serving layers for digital channel use cases (e.g., customer 360, fraud, personalization).
* Define architecture for operationalizing ML and GenAI models, including feature stores, CI/CD for models, and prompt/data governance.
* Drive adoption of Denodo or similar tools for agile data access and abstraction.

Required Education:

Bachelor's Degree

Preferred education

Bachelor's Degree

Required Technical and Professional Expertise:

15+ years in enterprise data architecture, including 5+ years in big data platforms and modern architectures.
* Hands-on experience and Architecting with IBM technologies will be most preferred. Must have handled with ownership Data Architecture for large clients.
* Proven ability to design architectures for real-time analytics, machine learning pipelines, and data virtualization layers.
* Strong understanding of data governance, security, metadata management, and regulatory compliance in BFSI.
* Excellent communication and stakeholder engagement skills; ability to present to both technical and executive audiences

Preferred Technical and Professional Experience:

15+ years in enterprise data architecture, including 5+ years in big data platforms and modern architectures.
* Hands-on experience and Architecting with IBM technologies will be most preferred. Must have handled with ownership Data Architecture for large clients.
* Proven ability to design architectures for real-time analytics, machine learning pipelines, and data virtualization layers.
* Strong understanding of data governance, security, metadata management, and regulatory compliance in BFSI.
* Excellent communication and stakeholder engagement skills; ability to present to both technical and executive audiences

Years of Experience:
15 - 15