Forward Deployed Engineer

SewerAI

. Lead technical discovery sessions to understand customer systems, data, workflows, and constraints .

Posted 10/15/2026full-timeCalifornia • United StatesMid-LevelSenior💰 $160,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing end-to-end technical implementations, data migrations, and system integrations while effectively communicating with both technical and non-technical stakeholders. Proficient in designing ETL workflows, scripting for data transformation, and ensuring data quality across various platforms.

Highest-signal resume keywords

Technical Implementation ManagementData Migration ExperienceETL Workflow DesignAPI IntegrationScripting Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data MigrationETL WorkflowsAPI IntegrationSQLPythonJavaScriptBashData TransformationData ValidationDatabase Troubleshooting

Soft Skills

Problem-SolvingClear CommunicationCustomer EngagementExpectation ManagementCross-Team Coordination

Tools & Technologies

AWSSaaSGIS SoftwareAsset Management SoftwareInfrastructure Software

Industry Keywords

Professional ServicesSolutions EngineeringImplementation EngineeringCustomer-Facing RoleLarge-Scale Data Ingestion

Tech Stack

Tools & technologies

AWSCloudETLJavaScriptPythonSQL

About the role

Key responsibilities & impact

Lead technical discovery sessions to understand customer systems, data, workflows, and constraints
Define implementation scope, timelines, and deliverables with Customer Enablement, Sales, and Engineering
Translate customer requirements into technical plans, mappings, transformations, and integration designs
Identify risks related to data quality, system compatibility, and workflow complexity
Set success criteria and validation strategies and manage customer expectations
Own Professional Services projects from kickoff through final delivery
Drive timelines, milestones, and cross-team coordination
Document configurations, mappings, and integrations
Own data correctness, system behavior, and usability outcomes
Perform data imports, exports, and transformations between systems
Design and execute ETL workflows for structured and semi-structured data
Write scripts for data transformation, validation, and migration
Build and manage ingestion pipelines for files, databases, APIs, and media datasets
Integrate systems using APIs, webhooks, and custom scripts
Configure SaaS-to-SaaS integrations and automation workflows
Define field-level mappings and reconcile schema differences
Validate data through sampling, QA checks, and full-scale verification
Troubleshoot mismatches across files, metadata, APIs, and database records
Execute staged migrations and validation before production rollout
Engage directly with customer technical teams, managers, and stakeholders
Explain technical topics and guide customers on data, workflow, and integration best practices
Recommend implementation approaches and propose alternatives to infeasible solutions
Serve as a trusted technical advisor through onboarding, expansion, and complex deployments
Partner with Product, Engineering, Customer Enablement, and Support
Build scripts, utilities, templates, documentation, and playbooks to improve implementation efficiency
Provide product feedback based on customer use cases
Help scale Professional Services through tooling and automation

Requirements

What you’ll need

4+ years in Professional Services, Solutions Engineering, Implementation Engineering, or a similar customer-facing technical role
Proven track record managing end-to-end technical implementations or migrations
Experience working directly with customers in technical environments
Strong problem-solving ability in ambiguous, real-world situations
Clear communication with technical and non-technical audiences
Scripting experience — Python, JavaScript, Bash, or similar
Strong SQL and relational database fundamentals
ETL workflows and data migration experience
API and system integration experience
Comfort working with large, inconsistent, or unstructured datasets
Familiarity with cloud platforms, AWS preferred
Ability to troubleshoot across databases, APIs, files, and user interfaces
Experience automating workflows or data processes
Experience with AI code tools
GIS, asset management, or infrastructure software experience is nice to have
Legacy system data migration experience is nice to have
Large-scale data ingestion or media dataset experience is nice to have
SaaS or high-growth startup environment experience is nice to have
Enterprise customer support experience is nice to have
Must be legally authorized to work in the United States

Benefits

Comp & perks

Medical, Dental, Vision, Basic Life, 401(k), and more
Unlimited PTO
Tools you need to get the job done
Potential equity-based remuneration