## **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
Visa sponsorship is not available for this role.
