Forward-Deployed Customer Engineer (Enterprise) jobs in United States
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Telmai · 1 day ago

Forward-Deployed Customer Engineer (Enterprise)

Telmai is an AI-based data quality and observability platform designed for open architecture. The Forward-Deployed Customer Engineer will be responsible for accelerating the deployment and integration of Telmai for large enterprise customers, ensuring they derive value quickly from the platform.

AnalyticsArtificial Intelligence (AI)Big DataCloud Data ServicesData IntegrationMachine Learning
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H1B Sponsor Likelynote
Hiring Manager
Mona Rakibe
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Responsibilities

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
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
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
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

Qualification

Cloud experienceData architectureLakehouse/warehouse ecosystemsData quality observabilityPython/SQLCustomer-facing engineeringMulti-stakeholder communicationOutcome-driven mindsetAdaptability

Required

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
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

Preferred

Experience with DQ/observability or metadata platforms
Iceberg/Delta/Hudi familiarity
Python/SQL for quick utilities
Exposure to regulated industries (FSI, healthcare, insurance)

Company

Telmai

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Data Reliability Agent for Open Data Lakes

H1B Sponsorship

Telmai has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)

Funding

Current Stage
Growth Stage
Total Funding
$5.62M
2023-06-15Seed· $5.5M
2021-08-31Pre Seed· $0.12M

Leadership Team

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Mona Rakibe
CEO and Co-Founder
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M
Maxim Lukichev
Co-founder and CTO
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Company data provided by crunchbase