
1001 - 5000 employees
Founded 2008
💼 Consulting
🏥 Healthcare
📦 Logistics
💰 $4.1M Venture Round on 2013-01
Consulting • Healthcare • Logistics
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.
🔥 0 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

1001 - 5000 employees
Founded 2008
💼 Consulting
🏥 Healthcare
📦 Logistics
💰 $4.1M Venture Round on 2013-01
Consulting • Healthcare • Logistics
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.
• Lead customer engagements by designing and presenting scalable, cloud-native lakehouse architectures and business outcomes • Provide domain expertise throughout the sales cycle, supporting PoCs, solution sizing, and customer adoption • Focus on self-serve BI, open table formats, and AI-ready data analytics • Troubleshoot complex issues involving query performance, concurrent workload management, and data federation • Lead technical escalations and provide guidance on complex technical issues • Drive internal and external technical enablement by exploring analytical engines and developing educational materials • Share best practices around modern data warehousing • Translate customer feedback and region-specific requirements into product and engineering insights • Participate in community activities, speak at events, and contribute to knowledge sharing • Collaborate with Sales, Product, and Engineering teams • Travel to customer sites and Cloudera hubs approximately once per month
• Proven experience leading and implementing mission-critical data warehousing and BI use cases • Proven experience designing, building, and deploying enterprise-grade data lakehouses and big data analytics platforms on cloud-native architectures • Hands-on expertise with SQL engines, open table formats, and big data warehousing technologies, specifically Apache Iceberg, Trino, Apache Hive, and Apache Impala • Strong background architecting production data deployments across hybrid and multi-cloud environments • Expertise in massive-scale BI, ad-hoc analytics, and building an AI-ready data foundation • Demonstrated ability to run Proofs of Concept (PoCs) and MVPs leading to enterprise-grade production deployments • Experience ensuring high-concurrency query performance and cost optimization • Experience designing data-intensive architectures, including data modeling, security, data quality, and governance • Exceptional presentation skills engaging SQL developers, data analysts, and senior executives • Ability to analyze data warehouse workloads and define technical migration or modernization roadmaps • Prior pre-sales or technical consulting experience with big data, data warehousing, and AI platform solutions (bonus) • Experience with Snowflake, Google BigQuery, Amazon Redshift, or Teradata (bonus) • Experience with dbt, Star Schema, Data Vault, and optimizing analytical query performance over distributed object storage (bonus) • Experience with open-source software and development practices (bonus) • Familiarity with Cloudera Data Warehouse, Cloudera Machine Learning, and Shared Data Experience (bonus) • Relevant technical certifications such as Snowflake SnowPro Core, AWS Certified Data Analytics, or Google Cloud Professional Data Engineer (bonus) • Working knowledge of Apache Spark, Airflow, and the broader open-source data and AI ecosystem (bonus) • This role is not eligible for immigration sponsorship
• Commission plan for sales roles • Comprehensive benefits package • Generous PTO Policy • Unplugged Days supporting work-life balance • Flexible WFH Policy • Mental & Physical Wellness programs • Phone and Internet Reimbursement program • Access to Continued Career Development • Paid Volunteer Time • Employee Resource Groups
Apply Now🕒 3 days ago
Senior Data Insights Specialist using SQL, Python, and ETL tools to analyze pharmacy network accessibility. Supporting CVS Health’s efforts to simplify and improve healthcare.
🕒 September 21
Data Collection Specialist II surveying property conditions, tagging assets, and collecting building-system data for JLL’s real estate services. Extensive travel and client database logging required.
🕒 September 18
Facility asset specialist conducting onsite building assessments for Turner & Townsend, a global professional services company. Collecting accurate MEP, safety, and asset data for client investment decisions.
🕒 September 18
Leading AI-driven data mining and payment integrity solutions at Gainwell Technologies. Translating healthcare policies into scalable analytics, algorithms, and claims accuracy improvements.
🇺🇸 United States – Remote
💵 $99.2k - $141.7k / year
💰 Grant on 2023-06
⏰ Full Time
🟠 Senior
🔴 Lead
🦅 H1B Visa Sponsor
🕒 September 18
Privacy specialist governing classification, retention, and data sharing for GDIT’s cloud modernization program. Supporting secure analytics and AI capabilities for U.S. federal courts.