USD per year
Forward-Deployed Customer Engineer (Enterprise)
Forward-Deployed Customer Engineer , Remote (U.S.), Full Time Team: Customer Engineering Seniority: Mid-Level (4–6 years experience)
About the Role
Telmai customers move through three stages after purchase:
- 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.
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
Experience & Background
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- Experience with cloud platforms: AWS/Azure/GCP preferred
- Strong understanding of cloud networking & security concepts
- Familiarity with data lakes/warehouses & metadata platforms such as Atlan/Alation/Collibra etc.
- Proficiency in Python/SQL for scripting utilities or automation tasks
- Exposure to regulated industries like financial services or healthcare is a plus
Skills & Technologies Mentioned:
AWS; Azure; GCP; Cloud networking; Cloud security; Google Cloud Storage (GCS); s3; Azure Data Lake Storage (ADLS); bigquery; Snowflake; Databricks; Atlan; Alation; Collibra; Iceberg; Delta Lake; Hudi; Python; SQL
This job posting has expired and is no longer accepting applications.
Browse Active JobsTelmai provides autonomous ready data solutions for Agentic AI, focusing on continuous data validation and quality signals within data lakes and lakehouses to ensure reliable data for decision-making. Their platform includes Data Reliability Agents that automate data quality monitoring, anomaly detection, incident management, and data insights.
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