The ad says“3-5 years of progressive experience implementing information technology solutions”
The ad says“2-3 years of experience in pre-sales engineering role”
Values
The ad says“Working knowledge of Big Data Technologies including Hudi, Spark, Trino/Presto, DBT, Kafka, Airflow, Avro, Hadoop”
The ad says“Experience and knowledge in cloud native services such as Amazon EMR, Amazon Redshift, Amazon Kinesis, AWS Glue, Google BigQuery, Databricks, Snowflake, Azure HDInsight, etc”
The ad says“Experience and knowledge in cloud native services such as Amazon EMR, Amazon Redshift, Amazon Kinesis, AWS Glue, Google BigQuery, Databricks, Snowflake, Azure HDInsight, etc”
The ad says“Experience and knowledge in cloud native services such as Amazon EMR, Amazon Redshift, Amazon Kinesis, AWS Glue, Google BigQuery, Databricks, Snowflake, Azure HDInsight, etc”
The ad says“Comprehensive understanding of data warehousing, data lake, data pipelines/ETL, and analytics design patterns”
The ad says“Experience with Lakehouse technologies including Apache Hudi or Delta Lake or Apache Iceberg”
The ad says“Experience with Lakehouse technologies including Apache Hudi or Delta Lake or Apache Iceberg”
The ad says“Working knowledge of Big Data Technologies including Hudi, Spark, Trino/Presto, DBT, Kafka, Airflow, Avro, Hadoop”
The ad says“Demonstrated experience and expertise in one or more of AWS/GCP/Azure cloud technologies”
The ad says“Experience and knowledge in cloud native services such as Amazon EMR, Amazon Redshift, Amazon Kinesis, AWS Glue, Google BigQuery, Databricks, Snowflake, Azure HDInsight, etc”
The ad says“Demonstrated experience and expertise in one or more of AWS/GCP/Azure cloud technologies”
The ad says“Experience and knowledge in cloud native services such as Amazon EMR, Amazon Redshift, Amazon Kinesis, AWS Glue, Google BigQuery, Databricks, Snowflake, Azure HDInsight, etc”
The ad says“End to end knowledge architecting cloud infrastructure”
The ad says“Comprehensive understanding of data warehousing, data lake, data pipelines/ETL, and analytics design patterns”
The ad says“Comprehensive understanding of data warehousing, data lake, data pipelines/ETL, and analytics design patterns”
The ad says“Comprehensive understanding of data warehousing, data lake, data pipelines/ETL, and analytics design patterns”
The ad says“Experience and knowledge in cloud native services such as Amazon EMR, Amazon Redshift, Amazon Kinesis, AWS Glue, Google BigQuery, Databricks, Snowflake, Azure HDInsight, etc”
The ad says“Working knowledge of Big Data Technologies including Hudi, Spark, Trino/Presto, DBT, Kafka, Airflow, Avro, Hadoop”
The ad says“Experience with Lakehouse technologies including Apache Hudi or Delta Lake or Apache Iceberg”
The ad says“Demonstrated experience and expertise in one or more of AWS/GCP/Azure cloud technologies”
The ad says“Experience and knowledge in cloud native services such as Amazon EMR, Amazon Redshift, Amazon Kinesis, AWS Glue, Google BigQuery, Databricks, Snowflake, Azure HDInsight, etc”
The ad says“Working knowledge of Big Data Technologies including Hudi, Spark, Trino/Presto, DBT, Kafka, Airflow, Avro, Hadoop”
The ad says“Working knowledge of Big Data Technologies including Hudi, Spark, Trino/Presto, DBT, Kafka, Airflow, Avro, Hadoop”
The ad says“Working knowledge of Big Data Technologies including Hudi, Spark, Trino/Presto, DBT, Kafka, Airflow, Avro, Hadoop”
The ad says“Experience with Lakehouse technologies including Apache Hudi or Delta Lake or Apache Iceberg”
The ad says“Experience contributing to open source technologies”
The ad says“Working knowledge of Big Data Technologies including Hudi, Spark, Trino/Presto, DBT, Kafka, Airflow, Avro, Hadoop”
The ad says“Experience and knowledge in cloud native services such as Amazon EMR, Amazon Redshift, Amazon Kinesis, AWS Glue, Google BigQuery, Databricks, Snowflake, Azure HDInsight, etc”
The ad says“Working knowledge of Big Data Technologies including Hudi, Spark, Trino/Presto, DBT, Kafka, Airflow, Avro, Hadoop”
The ad says“Working knowledge of Big Data Technologies including Hudi, Spark, Trino/Presto, DBT, Kafka, Airflow, Avro, Hadoop”
Candidate will partner alongside field sales counterpart and engineering team to lead the technical aspects of the sales cycle
SE responsibilities include communicating product offerings, provide architecture guidance, run proof of value, and provide assistance in migration process
SE will provide technical leadership and frame Onehouse in the best light to prospects and customers, to evoke confidence in company’s technology infrastructure, and to remove all technical objections in the sales cycle
Benefits
Equity Compensation; our success is your success with eligible participation in our company equity plan
Health & Well-being; we’ll invest in your physical and mental well-being with up to 90% health coverage (50% for spouses/dependents) including comprehensive medical, dental & vision benefits
Financial Future; we’ll invest in your financial well-being by making this role eligible to contribute to our company 401(k) or Roth 401(k) retirement plan
Location; we are a remote-friendly company (internationally distributed across N. America + India), though some roles will be subject to in-person requirements in alignment with the needs of the business
Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 11 paid company holidays
Company Camaraderie; Annual company offsites and Quarterly team onsites @Sunnyvale HQ
Equipment; we’ll provide you with the equipment you need to be successful and a one-time $500 stipend for your initial desk setup
Child Bonding!; 8 weeks off for parents (birthing, non-birthing, adoptive, foster, child placement, new guardianship) - fully paid so you can focus your energy on your newest addition
Preferred experience
2-3 years of experience in pre-sales engineering role
3-5 years of progressive experience implementing information technology solutions
Experience and knowledge in cloud native services such as Amazon EMR, Amazon Redshift, Amazon Kinesis, AWS Glue, Google BigQuery, Databricks, Snowflake, Azure HDInsight, etc
Demonstrated experience and expertise in one or more of AWS/GCP/Azure cloud technologies
Working knowledge of Big Data Technologies including Hudi, Spark, Trino/Presto, DBT, Kafka, Airflow, Avro, Hadoop
Comprehensive understanding of data warehousing, data lake, data pipelines/ETL, and analytics design patterns
Strong communication skills in explaining technical architecture
Solutions-focused approach that requires in-depth needs analysis (discovery)
Willingness to travel to customers as needed
Desire to work in fast-paced startup environment where change is constant
End to end knowledge architecting cloud infrastructure
Experience with Lakehouse technologies including Apache Hudi or Delta Lake or Apache Iceberg
Experience contributing to open source technologies
