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Cloudera

Senior Field Specialist – Data Lakehouse

Cloudera

. Lead customer engagements by designing and presenting scalable, cloud-native lakehouse architectures and business outcomes .

Posted 9/29/2026full-timeRemote • Texas • United StatesSenior💰 $146,000 - $200,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and implementing cloud-native data lakehouse architectures and business intelligence solutions, with a strong focus on data analytics, performance optimization, and customer engagement. Proven ability to lead technical escalations and enable teams through effective knowledge sharing and community involvement.

Highest-signal resume keywords
Cloud-Native Data Lakehouse ArchitectureSQL Engines ExpertiseBig Data Warehousing TechnologiesData Modeling and GovernanceTechnical Consulting Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data WarehousingBusiness IntelligenceData AnalyticsQuery Performance OptimizationData FederationData QualityData SecurityData GovernanceProof of Concept (PoC) DevelopmentEnterprise-Grade Production Deployments
Soft Skills
Exceptional Presentation SkillsCollaborationCustomer Engagement
Tools & Technologies
Apache IcebergTrinoApache HiveApache ImpalaSnowflakeGoogle BigQueryAmazon RedshiftTeradataApache SparkAirflow
Certifications & Qualifications
Snowflake SnowPro CoreAWS Certified Data AnalyticsGoogle Cloud Professional Data Engineer
Industry Keywords
Big DataAI-Ready Data FoundationHybrid Cloud EnvironmentsOpen Table FormatsSelf-Serve BIData Warehouse WorkloadsAnalytical EnginesCommunity EngagementKnowledge SharingTechnical Enablement

Tech Stack

Tools & technologies
AirflowAmazon RedshiftApacheAWSBigQueryCloudSparkSQLVault

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • 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