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