Forward-Deployed Customer Engineer (Enterprise)

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

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