Senior Data Architect

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 & AI-Assisted Development) with experience designing scalable enterprise data platforms. The ideal candidate will possess deep expertise in data warehousing, lakehouse architectures, and the Cloudera ecosystem, combined with hands-on experience in AI-powered analytics, LLMs, and AI-assisted development practices. This role will lead the design of modern data platforms that support business intelligence, advanced analytics, and AI-driven decision-making across Finance, Sales, and other enterprise domains that directly support revenue growth, forecasting, and strategic decision-making. This role will drive the design of intelligent, scalable data platforms that integrate traditional data engineering with next-generation AI-powered workflows while aligning closely with business objectives. 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, 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 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, 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 You may 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, and modern AI data architectures. Understanding of Data Mesh and Data Fabric concepts. 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 Opportunity to lead architecture on a Cloudera-centric enterprise data platform Work at the intersection of data warehousing, lakehouse, and AI innovation Adoption of vibe coding to modernize development workflows Influence enterprise-wide data and AI strategy 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 Apply To This Job