Forward-Deployed Customer Engineer (Enterprise)
Hybrid, Remote$140k - $160k + equitycontractPosted 8mo ago
About the role
Role responsible for deploying, integrating, and accelerating Telmai's data observability solutions for large enterprise customers, focusing on implementation, customer success, and product feedback.
Responsibilities
- 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 and executive stakeholders.
- Act as the primary technical owner for post-sales success.
- Bring deployment insights back into product and engineering.
- Inform roadmap areas (validation automation, lakehouse integrations, AI-agent workflows).
- Help build playbooks and best practices for future implementations.
Qualifications
- 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.
Skills
Required:Data architectureCloud platformsData lakehouse ecosystems
Nice to have:SQLPython
Last updated Mar 17, 2026. Interested? Apply on the company site.

About Telmai
Automated data observability and quality for Data Lake
Telmai is a Data observability and Data Quality platform designed for Open architecture. It monitors data stored/managed in any data system, such as a data lake or data warehouse, in its raw format at scale without sampling
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