Forward-Deployed Customer Engineer (Enterprise)

About Telmai

Automated data observability and quality for Data Lake

Tech

We are a fully hosted ML based SaaS service - we leverage modern data stack that includes GCP, AWS and Databricks. We are fully committed to digital sales and product led growth using our fully self-service product.

The role

## **About the Role**Telmai customers move through three stages after purchase:1. **Install** in their VPC,2. **Configure** data sources and catalogs,3. **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.## **What You’ll Do****Implementation & Activation*** 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**Data Reliability Outcomes*** 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**Customer Leadership*** 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**Influence Product*** 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## **What We’re Looking For****Background & Skills*** 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**Traits & Mindset*** AI-first and highly adaptable* Customer-obsessed and outcome-driven* High ownership, bias for action, and low-ego collaboration* Comfortable with ambiguity and fast-moving startup environments**Nice-to-Haves*** Experience with DQ/observability or metadata platforms* Iceberg/Delta/Hudi familiarity* Python/SQL for quick utilities* Exposure to regulated industries (FSI, healthcare, insurance)## **Why Join Telmai*** **Founding impact:** Help shape Telmai’s customer engineering function* **High visibility:** Work directly with the founders* **Enterprise momentum:** Deploy Telmai at brands like McDonald’s and Fortune 500s* **AI + Data inflection point:** Build on top of Telmai’s new **Data Reliability Agent*** **Low bureaucracy:** High trust, fast decisions, real ownership

Skills

• Data Modeling