Cloudera Solution Architect

Cloudera Solution Architect

Job location - Pune/Nagpur (WFO)

Experience - 8+ Years

Key Responsibilities (Solution Architect)

• Define and own the end-to-end architecture for AI-ready data platforms using Cloudera CDP , Spark, Kafka, NiFi, Hive, and Impala
• Design scalable and reusable data ingestion, processing, and feature engineering frameworks to support advanced analytics and ML workloads
• Architect and standardize MLOps platforms , including CI/CD pipelines, model deployment, scoring, monitoring, drift detection, and retraining strategies
• Enable GenAI and Retrieval-Augmented Generation (RAG) use cases by designing enterprise data preparation, embedding pipelines, and semantic data layers
• Establish data quality, lineage, governance, and audit frameworks aligned with banking and regulatory requirements (AML, Risk, Compliance)
• Partner with Data Science, AML, Risk, Fraud, and Digital Banking teams to translate business use cases into production-grade data and ML architectures
• Drive performance optimization, scalability, resiliency, and cost efficiency across big-data and AI platforms
• Define reference architectures, best practices, and standards for data, AI, and ML platforms
• Provide architectural guidance, design reviews, and technical mentorship to engineering teams
• Support presales, solutioning, and stakeholder discussions , including architecture walkthroughs and roadmap planning

Required Skills & Experience

• Deep hands-on and architectural experience with Cloudera CDP (Public/Private Cloud)
• Strong expertise in Spark (PySpark/Scala), Kafka, Hive, Impala , and orchestration tools (Airflow, NiFi )
• Solid understanding of AI/ML platforms , feature stores, and end-to-end ML lifecycle
• Experience designing solutions for banking and financial datasets , including AML, Fraud, Risk, Credit, and Customer Analytics
• Strong knowledge of data governance, lineage, security, and compliance in regulated environments
• Ability to translate complex business problems into scalable technical architectures
• Excellent communication and stakeholder management skills

Preferred Skills

• Experience with GenAI architectures , RAG pipelines, vector databases, and LLM integration
• Exposure to modern data architectures (lakehouse, streaming-first, event-driven)
• Knowledge of MLOps tools, CI/CD, and platform automation
• Prior experience in financial services or banking domain as an architect