About Telmai
Automated data observability and quality for Data Lake. Backed by Y Combinator.
About the role
This role is responsible for accelerating all three for large enterprise customers. You will be the technical owner who ensures Telmai is deployed, integrated, and delivering value fast.
What they're looking for
- 4–6 years in a customer-facing engineering role (FDE, SA, CE, consulting engineer)
- Strong data architecture and pipeline fundamentals
- Hands-on cloud experience (AWS, GCP, or Azure)
- Experience with lakehouse/warehouse ecosystems
- Familiarity with data lakes, cloud storage, catalogs, or metadata systems
- Comfortable leading multi-stakeholder enterprise conversations
More about this role
Install in their VPC,
Configure data sources and catalogs,
Adopt profiling, monitors, and automated validation.
This role is responsible for accelerating all three for large enterprise customers. You will be the technical owner who ensures Telmai is deployed, integrated, and delivering value fast.
- Guide customers through automated deployment in AWS, Azure, or GCP
- Provide hands-on cloud/network/security support when needed
- Integrate Telmai with customer ecosystems (GCS, S3, ADLS; BigQuery, Snowflake, Databricks; Atlan, Alation, Collibra; Iceberg, Delta, Hudi)
- Configure assets, profiling, rules, lineage, and validation flows
- Build small utilities or synthetic datasets to speed onboarding
- Enable automated validation across landing → transform → consumption layers
- Diagnose issues such as schema drift, null spikes, volume anomalies, invalid values, or rule failures
- Work with engineering, analytics, governance, and business teams to align on quality goals
- Demonstrate improvements in data reliability and trust
- Run workshops, stand-ups, and weekly sessions
- Navigate enterprise org structures and unblock cross-team dependencies
- Communicate clearly with both technical...
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