Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4359111945&distance=25.0&f_AL=true&f_TPR=r86400&f_WT=2&geoId=103644278&keywords=software%20engineer&origin=JOB_SEARCH_PAGE_JOB_FILTER&start=150 Job Description: Forward-Deployed Customer Engineer (Enterprise) Telmai · United States (Remote) Easy Apply Save Save Forward-Deployed Customer Engineer (Enterprise) at Telmai Show more options Your profile is missing required qualifications Show match details Help me update my profile BETA Is this information helpful? Get personalized tips to stand out to hirers Find jobs where you’re a top applicant and tailor your resume with the help of AI. Try Premium for PKR0 Meet the hiring team Mona Rakibe 3rd Co-Founder and CEO @ Telmai | Call my Agent → Data Reliability Agent. Job poster Message About the job Company Description Telmai is an AI-based data quality and observability platform designed for open architecture, enabling seamless processing of entire datasets to identify and exclude problematic data. Tailored for AI workloads, the platform supports the validation and monitoring of raw data stored in open formats such as Apache Iceberg, Delta, and Hudi. With its high-performance, cost-efficient, and elastic architecture, Telmai is optimized to minimize cloud costs. The platform ensures security by keeping all data within user-controlled cloud storage through a fully-managed service that operates within your VPC account. Location: Remote (U.S.) Team: Customer Engineering Type: Full-Time but open to contract/contract to hire Seniority: Mid-Level (4–6 years experience) About the Role Telmai Enterprise customers move through three stages after purchase: Install in their VPC, Configure data sources and catalogs, Adopt profiling, monitors, and automated validation and DQ workflows 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 and enable Telmai at Fortune 200s enterprise customers AI + Data inflection point: Build on top of Telmai’s new Data Reliability Agent Low bureaucracy: High trust, fast decisions, real ownership