Sales/Solutions Engineer
Own technical discovery, proof-of-value engagements, and solution design for enterprise data platform customers. The role requires 5+ years in solutions or sales engineering, strong data architecture expertise, and familiarity with databases, cloud warehouses, cloud infrastructure, and Kafka.
About the job
Responsibilities
- Own the technical win for enterprise deals, from technical discovery through close, in partnership with Account Executives.
- Run structured proof-of-value engagements with clear technical success criteria and mutual action plans.
- Analyze customer data architectures, including databases, pipelines, cloud and on-premises infrastructure, and pain points.
- Map customer architectures to Artie capabilities, including change data capture, Kafka, cloud data warehouses, and replication patterns.
- Whiteboard solutions and guide customers through integration design.
- Deliver technical presentations to engineers, data architects, platform leads, and executives.
- Translate log-based CDC, schema evolution, and real-time replication into business impact.
- Surface field insights to Product and Engineering to inform the roadmap.
- Automate manual workflows with AI and improve productivity.
- Partner with Engineering post-sale to ensure seamless customer handoffs and support.
- Help define solutions engineering standards and processes.
Requirements
- 5+ years of experience as a Solutions Engineer or Sales Engineer in enterprise or similarly complex environments.
- Deep familiarity with at least one RDBMS, such as Oracle, SQL Server, PostgreSQL, or DB2, including troubleshooting, logging, archiving, and query plans.
- Working knowledge of at least one cloud data warehouse, such as Snowflake, Iceberg, Databricks, or Redshift.
- Familiarity with the data stack, including Kafka, dbt, and BI platforms.
- Experience with AWS, GCP, or Azure and sufficient networking knowledge for technical solutioning conversations.
- Strong communication skills and the ability to adapt technical depth for engineers and executives.
- Structured, rigorous approach to managing proof-of-value projects.
- Low-ego, curious, customer-focused approach.
Technology
- AWS
- GCP
- Azure
- Snowflake
- BigQuery
- Databricks
- Kafka
- DataDog
- Oracle
- SQL Server
- DB2
- PostgreSQL
- dbt
Compensation & Benefits
- Base salary: $125,000–$140,000.
- OTE: $175,000–$200,000.
- Competitive equity package.
- Healthcare.
- 401(k).
- Unlimited PTO.
- Lunch and dinner provided.
- Visa sponsorship available.
Skills
AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, Datadog, Oracle, SQL Server, Db2, Postgres, dbt, Networking
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