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Solution Architect-Data Platforms

Solution Architect-Data Platforms

IBM

5 - 10 years

22 - 27 Lacs

mumbai

Posted:22 hours ago| Platform:

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Skills Required

cloudera metadata management regulatory compliance cdp data governance hive python enterprise information architecture impala data architecture golden gate apache nifi apache java design architecture spark kafka vector big data aws etl data lake

Work Mode

Work from Office

Job Type

Full Time

Job Description

Role Overview :
Lead Data Architectto define and govern theend-to-end enterprise data architecturefor a modern, scalable Cloudera-basedLakehouse platform. This role demands technical leadership across multiple domains includingCDC pipelines, Kafka streaming, real-time marts, MLOps/LLMOps frameworks, and data virtualization. You will act as theDesign Authority, ensuring architectural consistency, reusability, and compliance across all initiatives. Key Responsibilities :

Define and own thetarget state data architecturealigned with business and regulatory needs.

Serve asdesign authorityacross 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 inCloudera CDP,ApacheIceberg,Hive,Impala,Kafka,NiFi,Airflow.

Drive adoption ofopen table formats(e.g., Iceberg) andcatalogingstrategies.

Evaluate and integrate tools fordata quality, observability, lineage, andsecurity (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 Master's Degree Required technical and professional expertise

20+ years in enterprise data architecture, including 5+ years in big data platforms and modern architectures.

Hands-on experience with Cloudera CDP (Private or Public Cloud) , Apache Iceberg , Kafka , GoldenGate , and Airflow .

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.

Experience in designing LLMOps pipelines using vector databases, embedding stores, and retrieval-augmented generation (RAG) frameworks is a strong plus.

Excellent communication and stakeholder engagement skills; ability to present to both technical and executive audiences

Preferred technical and professional experience NA

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Solution Architect-Data Platforms