Senior Data Platform Engineer, Enterprise Merchant Integrations

Extend

. Design mapping and transformation systems that isolate each merchant’s uniqueness and maintain consistent downstream data .

Posted 9/30/2026full-timeRemote • United StatesSenior💰 $155,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Engineering and Platform Engineering with a strong focus on AWS serverless technologies, event-driven systems, and building scalable data platforms. Proven ability to mentor teams, drive projects to completion, and ensure data quality through effective integration and error reporting.

Highest-signal resume keywords

AWS Serverless ExperienceEvent-Driven SystemsFluency in PythonFluency in TypeScriptData Platform Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringPlatform EngineeringEvent-Driven ArchitectureData ReconciliationData Quality ChecksError ReportingData WarehousingData Lake IntegrationTooling DevelopmentMerchant Integration

Soft Skills

MentorshipCollaborationOwnership Mentality

Tools & Technologies

AWS LambdaAWS DynamoDBAWS GlueAWS Step FunctionsKafkaEventBridgeSNSSQSSnowflake

Industry Keywords

Data EngineeringPlatform EngineeringMerchant OnboardingIntegration Standards

Tech Stack

Tools & technologies

AWSDynamoDBKafkaPythonTypeScript

About the role

Key responsibilities & impact

Design mapping and transformation systems that isolate each merchant’s uniqueness and maintain consistent downstream data
Build tooling and standards to accelerate and secure enterprise merchant onboarding
Support merchant migrations onto current platform capabilities
Handle complex merchant integrations
Build merchant-facing error reporting from validation and processing errors
Engineer validation, reconciliation, automated failure triage, and trusted alerting
Expand the event-driven architecture using Kafka, EventBridge, SNS, Step Functions, and SQS
Add lifecycle webhooks for service and order events
Own work from design through production, including monitoring, observability, data-quality checks, and reconciliation
Mentor others and help shape integration standards

Requirements

What you’ll need

4-6 years in Data Engineering, Platform Engineering, or a closely related field
Deep AWS serverless experience: Lambda, DynamoDB, Glue, and Step Functions
Hands-on experience with event-driven systems: Kafka, EventBridge, and SNS
Fluency in Python and TypeScript
Experience building and hardening large-scale data platforms and integrations
Experience building platforms and tooling that other engineers build on
Experience delivering clean data into a warehouse such as Snowflake or a data lake
Experience building reconciliation against data warehouses or data lakes
Ownership mentality and ability to drive work to completion without step-by-step guidance
Mentorship experience with a humble, collaborative approach
Bonus: experience designing clear, actionable error surfaces or reporting for external or non-technical consumers
Must not require immigration-related sponsorship

Benefits

Comp & perks

Competitive salary based on experience
Full medical benefits
Dental and vision benefits
Stock in an early-stage startup growing quickly
Generous, flexible paid time off policy
401(k) with Financial Guidance from Morgan Stanley
Collaborative and supportive environment