Senior Data Architect

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Cloudera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 $4.1M Venture Round on 2013-01

Enterprise • SaaS • Artificial Intelligence

Cloudera is a leading enterprise data cloud company that empowers businesses to manage and analyze data across any environment. Offering a hybrid data platform, Cloudera facilitates modern data architectures with solutions like open data lakehouse, scalable data mesh, and unified data fabric, designed for artificial intelligence, data engineering, and machine learning. Key industries served include financial services, telecommunications, healthcare, and more, where Cloudera's platform enables secure, scalable, and effective data management. By leveraging AI and advanced analytics at scale, Cloudera helps organizations transform their data into actionable insights.

📋 Description

• Design and implement scalable data warehouse and lakehouse architectures on the Cloudera platform. • Define enterprise data models, governance frameworks, security standards, and data quality practices. • Architect and optimize analytics solutions across SQL engines including Impala, Hive, and Iceberg. • Design AI-powered analytics solutions leveraging LLMs, Retrieval-Augmented Generation (RAG), vector databases (such as PostgreSQL, Qdrant, Milvus), and NLQ capabilities. • Lead the integration of AI/ML capabilities into enterprise data platforms and data pipelines. • Leverage vibe coding / AI-assisted development tools to accelerate development and improve productivity. • Build and optimize batch and near real-time data pipelines. • Collaborate with business stakeholders to translate business requirements into scalable data products and analytics solutions. • Establish best practices for performance optimization, data architecture, and AI-assisted development. • Mentor teams on modern data architecture and AI-enabled development methodologies. • Ensure data security, governance, and compliance within enterprise data platforms.

🎯 Requirements

• Bachelor’s degree in Computer Science or equivalent and 5-6 years of related experience; OR Master’s degree and 3-5 years of related experience; OR PhD and 0-3 years of related experience • Deep expertise in enterprise data warehousing, lakehouse architectures, and Cloudera-based data platforms. • Strong experience with CDP, including HDFS, Hive, Impala, Kudu, and Cloudera data ingestion and processing frameworks. • Strong understanding of distributed data systems and Hadoop-based architectures. • Advanced SQL skills, including performance tuning and query optimization. • Proficiency in Python and data engineering frameworks. • Experience with dimensional and normalized data modeling. • Strong understanding of data governance, lineage, metadata management, and enterprise security. • Experience implementing AI/ML, LLM, vector database, and RAG-based solutions in production environments. • Familiarity with AI-assisted development tools (e.g., GitHub Copilot and LLM-powered workflows). • Strong communication, stakeholder management, and problem-solving skills. • Ability to align enterprise data architecture with business objectives in Finance, Sales, and Revenue Operations. • Ability to bridge traditional data platforms with modern AI capabilities.

🏖️ Benefits

• Generous PTO Policy • Support work life balance with Unplugged Days • Flexible WFH Policy • Mental & Physical Wellness programs • Phone and Internet Reimbursement program • Access to Continued Career Development • Comprehensive Benefits and Competitive Packages • Paid Volunteer Time • Employee Resource Groups