Introduction
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio
Your role and responsibilities
- Must have Experience in Designing Developing and Architecting using IBM Technologies.
- Must have Data Transformation Expertise using IBM Technologies.
- Preference to Candidates who have worked in Indian FSS Client's.
- Any cloud platform knowledge is good to have.
Required education
Bachelor's Degree
Preferred education
Bachelor's Degree
Required technical and professional expertise
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. Key Responsibilities:
* 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 CDPApache 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. 16:04 Required skills: 10+ 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 client’s.
* 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
* 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 CDPApache 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. 16:04 Required skills: 10+ 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 client’s.
* 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
Hiring manager and Recruiter should collaborate to create the relevant verbiage.