Lead Architect/Engineer, Back End

Real Chemistry

. Lead the platform's application data model in Aurora and DynamoDB and the access-pattern decisions behind it .

Posted 9/24/2026full-timeUnited StatesSenior💰 $175,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading back-end engineering teams, defining data models, and maintaining API contracts while ensuring high standards of code quality and performance. Proven ability to partner with data science teams to productionize models and navigate complex regulated environments.

Highest-signal resume keywords

Back-End Engineering LeadershipData Model DesignAPI Contract DefinitionTeam Hiring and DevelopmentCollaboration with Data Science

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Back-End EngineeringData ModelingNoSQL DatabaseRelational DatabaseAPI DevelopmentCI-Enforced TestingAgentic CodingProductionizing ModelsPerformance OptimizationCost Management

Soft Skills

Comfort with AmbiguityTeam LeadershipCollaboration

Tools & Technologies

AuroraDynamoDBData WarehouseDevOps Practices

Industry Keywords

B2B ProductEnterprise ProductPharma MarketingHCP MarketingRegulated Marketing DataAd TechFinancial Services MarketingHealth Systems

Tech Stack

Tools & technologies

DynamoDBNoSQL

About the role

Key responsibilities & impact

Lead the platform's application data model in Aurora and DynamoDB and the access-pattern decisions behind it
Drive the integration contract with the data warehouse, including data flows and cadence, while keeping the warehouse out of the platform's request path
Define API contracts with the front-end lead
Direct the reliability, performance, and cost of back-end services
Partner with DevOps on platform-level non-functional requirements
Partner with data science to productionize models and recommendation features
Hire and lead a team of back-end and data engineers
Set standards for code quality, CI-enforced testing, and agentic coding
Partner with product and design on problem definition, scope, and sequencing

Requirements

What you’ll need

8+ years in back-end or full-stack engineering, including 2+ years leading a team
Experience leading a data model and access patterns for a B2B or enterprise product at meaningful scale, ideally across both a relational and a NoSQL store
Track record hiring and growing engineers, and running a technical interview loop from scratch
Comfortable directing and reviewing agentic or AI-assisted coding, with the judgment to know what to hold to human review
Experience partnering with data science or ML teams to get models into production
Fluency defining and maintaining API contracts across a team boundary
Comfort with ambiguity and a fast-moving, still-small engineering organization
Bonus points for pharma or HCP marketing experience, or complex regulated marketing data environments such as ad tech, financial services marketing, or health systems

Benefits

Comp & perks

Comprehensive benefit program and perks tailored to the employee's region
Free snacks
Generous holiday and paid time off
Options for private medical, dental, and vision plans
Support in saving for the future
Mental wellness coaching and support
Access to more than 13,000 online classes with LinkedIn Learning
Remote or hybrid flexibility where appropriate
Collaboration, culture-building, learning, and team connection opportunities throughout the year for employees in regions without a nearby office
Great Place to Work® certified workplace