Field Specialist - Data Lakehouse (Apache Iceberg)

Location: Budapest, Hungary; flexible work-from-home policy

Company

hirify.global develops open-source-based data platforms that help large enterprises transform complex data into actionable insights.

What you will do

• Design and present scalable, cloud-native data lakehouse architectures and business outcomes to technical and executive stakeholders.
• Support the sales cycle through proofs of concept, solution sizing, customer adoption, and technical enablement.
• Advise on self-serve BI, Apache Iceberg, AI-ready analytics, query performance, concurrent workloads, and data federation.
• Troubleshoot complex technical issues, lead escalations, and develop best practices and educational materials.
• Translate customer feedback and regional requirements into product and engineering roadmap input.
• Collaborate with Sales, Product, and Engineering while representing modern open data lakehouse practices in community activities and events.

Requirements

• Experience leading mission-critical data warehousing and BI use cases in enterprise industries.
• Experience designing, building, and deploying enterprise data lakehouses and big data analytics platforms on cloud-native architectures.
• Hands-on expertise with SQL engines, Apache Iceberg, Trino, Apache Hive, and Apache Impala.
• Experience architecting production deployments across hybrid and multi-cloud environments, including large-scale BI and ad-hoc analytics.
• Experience delivering proofs of concept and production deployments with attention to query concurrency, cost optimization, security, data quality, and governance.
• Strong presentation skills and the ability to engage SQL developers, data analysts, and senior executives.

Nice to have

• Pre-sales or technical consulting experience with big data, data warehousing, and AI platforms.
• Experience with Snowflake, BigQuery, Redshift, Teradata, dbt, Star Schema, or Data Vault.
• Knowledge of hirify.global Data Warehouse, hirify.global Machine Learning, Shared Data Experience, Apache Spark, or Airflow.
• Open-source development experience, relevant technical certifications, and knowledge of data foundations for machine learning, deep learning, and generative AI.

Culture & Benefits

• Flexible work-from-home policy and work-life balance support.
• Generous paid time off and designated unplugged days.
• Mental and physical wellness programs.
• Phone and internet reimbursement.
• Career development opportunities, comprehensive benefits, paid volunteer time, and employee resource groups.