Senior Software Engineer, Pipelines

Softline Solutions

$160K — $250K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Expert in abstraction and system design for scalable data schemas and APIs
  • Deep understanding of marketing data and attribution models
  • Strong instincts for productization and multi-tenant architecture
  • Fluency in AWS cloud architecture practices
  • Proficient in using AI tools for automation and orchestration
  • Obsessed with data validity and quality frameworks
  • Exceptional communication skills, especially with senior leadership and clients

Responsibilities

  • Normalize diverse marketing data into a unified central schema
  • Develop self-service connectors for client third-party platform integration
  • Create first-party data ingestion APIs for client data submissions
  • Design internal and client-facing dashboards for marketing visibility
  • Build AI-driven automation pipelines for data validation and reporting
  • Implement comprehensive observability with alerting and monitoring systems

Benefits

  • Opportunity to work directly with senior leadership
  • Access to cutting-edge AI tools and technologies
  • Challenging and complex data platform projects
  • Collaborative environment with a focus on innovation
  • Ability to shape the future of marketing data management
Full Job Description
About the role

Softline Solutions manages complex marketing programs across a portfolio of clients. We are building a multi-tenant data platform that serves as the single source of truth for marketing data across every client and program. At its center is a universal schema that stores cross-organization, cross-company data in one system of record.

You will own this platform end-to-end: the API ingestion layer for both self-service third-party connectors and proprietary first-party client data, the transformation pipelines, internal and client-facing dashboards, agentic automation, and monitoring infrastructure. You report directly to a board member and work across senior leadership to deliver validated visibility fast.

What you'll do

  • A massive central schema normalizing cross-client, cross-org marketing data into a canonical model with multi-tenant isolation, versioning, and cross-client benchmarking
  • A self-service connector framework: new clients authenticate and connect their own third-party platforms (Meta, Google, LinkedIn, HubSpot, Salesforce, GA4, Shopify, etc.) without engineering involvement
  • A first-party data ingestion API where clients push proprietary data (CRM exports, offline conversions, custom events) through validated transformation pipelines into the universal schema
  • Internal and client-facing dashboards: white-labeled, permission-scoped, self-service, blending first-party and third-party data into unified marketing attribution views
  • Agentic automation: AI agent orchestration pipelines (agent-of-agents patterns) that automate data validation, anomaly detection, report generation, and cross-pipeline coordination
  • Full observability: alerting, health checks, data freshness SLAs, and self-healing mechanisms across the platform

Qualifications

  • Expert in abstraction and system design: you take messy, multi-source data landscapes and design clean schemas, APIs, and interfaces that make them tractable at scale
  • Deep marketing data fluency: attribution models (MTA, MMM, last-touch, first-touch), conversion tracking, UTM structures, ad platform APIs, cross-platform data reconciliation
  • Strong product and productization instincts: multi-tenant architecture, user auth (OAuth, RBAC, SSO), self-service onboarding, schema mapping
  • Cloud architecture fluency (AWS preferred): serverless, containers, managed databases, API gateways, IAM
  • AI-native and agentic: you build with Claude, Cursor, and similar tools daily. You understand agent orchestration, agent-of-agents patterns, and programmatic automation of complex multi-step workflows. You are a $50K/year AI user because it makes you a genuine 10x builder
  • Data validity obsessive: you understand testing metrics, data quality frameworks, validation layers, and build systems that prove their own correctness
  • Exceptional communicator: you work directly with senior leaders, client teams, and operations staff, translating technical complexity into clear visibility and actionable insight.

Requirements

  • 5+ years in software, data, or product engineering; track record shipping multi-tenant data platforms
  • Experience designing large, normalized schemas storing data across multiple organizations in a single system
  • Experience building self-service integration frameworks and first-party data ingestion APIs
  • Strong Python, TypeScript/JavaScript, SQL, and at least one major cloud platform
  • Pipeline orchestration (Airflow, Dagster, Prefect) and dashboard tooling (Retool, Metabase, Looker, or custom)
  • OAuth 2.0, JWT, RBAC, SSO/SAML
  • Demonstrated heavy AI tool usage including agent orchestration and agentic automation (we evaluate this directly)
  • Marketing technology or agency experience strongly preferred

How to Apply

Send your resume along with one of the following:

  • A link to a data product or platform you built, with context on architecture decisions
  • A 1-page write-up on how you would build a unified, multi-tenant marketing data platform for a multi-client agency
  • Your AI tooling setup: what you use, how much you spend, and how it changes your output


The pay range for this role is:

160,000 - 250,000 USD per year (Softline HQ)

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