Business Area: IT Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. We are seeking an experienced Senior Data Architect (AI-First Data Architecture & AI-Assisted Development) with 5+ years of experience designing scalable enterprise data platforms and enabling modern AI-driven ecosystems. The ideal candidate will bring deep expertise in data warehousing, lakehouse architectures, combined with hands-on experience in AI governance, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), semantic data architectures, and AI-assisted development practices. This role extends beyond traditional data architecture by partnering with Business Intelligence, Data Science, Engineering, and AI teams to build AI-ready data foundations. The architect will lead the design of data models, metadata frameworks, and governance practices that optimize enterprise data for AI consumption, intelligent search, agentic workflows, and RAG-based applications. A key focus will be establishing robust metadata, business definitions, lineage, data tagging, and semantic structures to improve the accuracy, discoverability, and scalability of AI-powered solutions. The successful candidate will drive AI-first data acquisition, curation, and governance strategies that support business intelligence, advanced analytics, and AI-driven decision-making across Finance, Sales, and other strategic business domains. They will also champion AI-assisted architecture and documentation practices to accelerate delivery, improve productivity, and create reusable patterns that enable both users and AI systems to effectively discover, understand, and leverage enterprise data. This role will lead the evolution of intelligent, governed, and scalable data platforms that seamlessly integrate traditional data engineering with next-generation AI-powered capabilities, ensuring the organization's data ecosystem is optimized for the future of AI-enabled business operations. As a Sr. Data Architect you will: Design and implement scalable data warehouse and lakehouse architectures on the Cloudera platform. Define enterprise data models, governance frameworks, data stewardship processes, 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 while establishing governance controls for AI models, data usage, and lifecycle management. 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, compliance, and responsible AI practices within enterprise data platforms and AI-enabled solutions. Collaborate with business stakeholders across FP&A, Sales, and Revenue Operations to translate business requirements into scalable data solutions that support financial forecasting, revenue optimization, budgeting, pipeline analysis, and sales forecasting We are excited about you if you have: 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, data cataloging, enterprise security, and compliance requirements.

Experience

implementing AI governance practices including model governance, AI risk management, explainability, monitoring, and responsible AI controls.

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 You might also have:

Experience

with CDP Public Cloud and Private Cloud deployments. Knowledge of Cloudera Data Warehouse (CDW), Cloudera Data Engineering (CDE), Kafka, Spark, and streaming architectures.

Experience

with generative AI, vector databases, modern AI data architectures, and AI governance frameworks. Understanding of Data Mesh, Data Fabric, and enterprise governance operating models.

Experience

working with Salesforce, NetSuite, and other enterprise business systems.

Experience

supporting FP&A, Sales Analytics, and executive reporting environments. What Makes This Role Unique Lead architecture for a modern Cloudera-centric enterprise data platform. Drive the convergence of data warehousing, lakehouse architectures, and AI innovation. Influence enterprise-wide data, governance, and AI strategy. Champion AI-assisted development practices to accelerate productivity. This role is not eligible for immigration sponsorship. What you can expect from us: 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 EEO/VEVRAA #LI-SZ1 #LI-REMOTE It has come to our attention that job seekers have been contacted about fake job opportunities with Cloudera from individuals fraudulently posing as Cloudera employees. These recruiting fraud schemes often include requests for personal information and payments. Be aware that Cloudera will never request a payment as part of its recruitment process. Additionally, Cloudera will never make a job offer without conducting an interview process. Any information submitted to Cloudera in relation to a job application should only be through our official career portal https://www.cloudera.com/careers.html Email communications from Cloudera will come from an email address ending in @cloudera.com. If you are the target of a recruiting scam, consider filing a report with law enforcement authorities. Cloudera is not responsible for fraudulent job offers and/or any claims, damages, expenses, or other inconvenience connected to recruiting scams. For information on Cloudera's Candidate Privacy Notice, click here. If you have any questions about our privacy practices, please contact us at privacy@cloudera.com. EEO/VEVRAA If you need assistance with applying for a position, please email our office at talentacquisition@cloudera.com.