Senior Field Specialist – Data Lakehouse

This is a fully remote position, open to applicants in Texas.

📋 Description

• Lead customer interactions by architecting and showcasing scalable, cloud-native lakehouse solutions and their associated business outcomes.

• Provide specialized knowledge throughout the sales process, assisting with PoCs, solution sizing, and customer onboarding.

• Emphasize self-service BI, open table formats, and data analytics ready for AI applications.

• Resolve intricate issues related to query performance, management of concurrent workloads, and data federation.

• Manage technical escalations and offer guidance on complex technical challenges.

• Promote technical empowerment both internally and externally by investigating analytical engines and creating educational resources.

• Share best practices concerning contemporary data warehousing methodologies.

• Convert customer insights and regionally specific needs into product and engineering recommendations.

• Engage in community events, present at conferences, and contribute to knowledge dissemination.

• Collaborate closely with Sales, Product, and Engineering teams.

• Travel to customer locations and Cloudera hubs approximately once a month.

⛳️ Requirements

• Demonstrated experience in leading and executing mission-critical data warehousing and BI use cases.

• Proven track record in designing, constructing, and deploying enterprise-level data lakehouses and big data analytics platforms utilizing cloud-native architectures.

• Practical expertise with SQL engines, open table formats, and big data warehousing technologies, particularly Apache Iceberg, Trino, Apache Hive, and Apache Impala.

• Strong background in architecting production data solutions across hybrid and multi-cloud settings.

• Expertise in large-scale BI, ad-hoc analytics, and establishing an AI-ready data infrastructure.

• Proven ability to conduct Proofs of Concept (PoCs) and MVPs leading to enterprise-level production launches.

• Experience in ensuring high-concurrency query performance and optimizing costs.

• Experience in designing data-centric architectures encompassing data modeling, security, data quality, and governance.

• Outstanding presentation skills for engaging SQL developers, data analysts, and senior executives.

• Ability to evaluate data warehouse workloads and outline technical migration or modernization strategies.

• Previous experience in pre-sales or technical consulting roles involving big data, data warehousing, and AI platforms (bonus).

• Familiarity with Snowflake, Google BigQuery, Amazon Redshift, or Teradata (bonus).

• Experience with dbt, Star Schema, Data Vault, and enhancing analytical query performance over distributed object storage (bonus).

• Experience with open-source software and development methodologies (bonus).

• Knowledge of 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).

• Proficiency in Apache Spark, Airflow, and the broader open-source data and AI ecosystem (bonus).

• This position is not eligible for immigration sponsorship.

🏝️ Benefits

• Commission plan for sales roles.

• Comprehensive benefits package.

• Generous PTO Policy.

• Unplugged Days to support work-life balance.

• Flexible Work From Home policy.

• Mental & Physical Wellness programs.

• Phone and Internet Reimbursement program.

• Access to Ongoing Career Development.

• Paid Volunteer Time.

• Employee Resource Groups.