About Telmai

Automated data observability and quality for Data Lake

Tech description:

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.

Job description:

## **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

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