Lead Data Platform Engineer / Architect

Remote • Posted 4 hours ago • Updated 4 hours ago
Contract W2
Contract Independent
12 Months
No Travel Required
Remote
$55/hr
Fitment

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Job Details

Skills

  • Customer Relationship Management (CRM)
  • System Integration
  • Google Tag Manager (GTM)
  • merger and acquisition
  • Snowflake

Summary

Role: Lead Data Platform Engineer/Jr Architect

Location: US Remote

Type: Contract

 

Role Overview

We are seeking a highly strategic yet hands-on Lead  Data & Platform Engineer/Architect to lead the evolution of our enterprise systems, data platforms, and integration strategy across a rapidly scaling, acquisition-driven organization.

This role sits at the intersection of:

  • Enterprise Architecture
  • Data & Analytics
  • Business Systems
  • M&A Technology Integration
  • Operational Scalability

The ideal candidate is an operator-builder who can bridge strategic architecture vision with deep execution capability. You will lead the design and integration of scalable, platform-first environments that enable visibility, operational efficiency, and growth across GTM, Finance, Product, Customer Experience, and Operations.

This is not a governance-only architecture role. We are looking for someone who can actively simplify complexity, modernize fragmented ecosystems, and build enterprise-grade foundations in a fast-moving environment.

Key Responsibilities

Enterprise Platform & Data Architecture

  • Define and execute the enterprise-wide strategy for:
    • Data platforms
    • Business systems architecture
    • Integration frameworks
    • Analytics infrastructure
  • Drive standardization and modernization of fragmented systems across Business Units.

M&A Systems Integration

  • Lead technology and data integration for acquisitions and newly onboarded businesses.
  • Establish repeatable integration playbooks for:
    • CRM consolidation
    • ERP harmonization
    • Data migration
    • Identity and reporting standardization
  • Rationalize overlapping systems and reduce operational complexity post-acquisition.

 

Data & Operational Visibility

  • Build enterprise-grade data foundations enabling cross-functional visibility across:
    • GTM
    • Finance
    • Product
    • Customer Operations
  • Design scalable reporting and analytics frameworks supporting executive decision-making.
  • Drive data quality, governance, lineage, and operational trust across platforms.

Cross-Functional Leadership

  • Partner closely with:
    • Product leadership
    • Finance
    • Revenue Operations
    • Engineering
    • Security & Compliance
  • Act as the architectural bridge between business strategy and technical execution.
  • Lead and mentor high-performing architecture, data, and integration teams.

Operational Transformation

  • Turn technical debt into scalable operational capability.
  • Evaluate build vs. buy decisions across systems and platforms.
  • Establish scalable operating models supporting rapid organizational growth.

Required Qualifications

  • 8+ years of experience in:
    • Enterprise Architecture
    • Data Platforms
    • Business Systems
    • Integration Engineering
  • Proven experience scaling systems in:
    • High-growth SaaS
    • PE-backed environments
    • Acquisition-heavy organizations
  • Demonstrated experience integrating multiple acquisitions or business platforms.
  • Strong hands-on understanding of:
    • Salesforce / HubSpot ecosystems
    • Netsuite / DealHub / Subskribe
    • Data warehousing and analytics platforms
    • API integrations and middleware
  • Experience building operational reporting and enterprise visibility platforms.

 

Preferred Technical Experience

Data & Analytics

  • Snowflake
  • Databricks
  • Fivetran
  • Dbt
  • Workato
  • Lightdash

Leadership Profile

The successful candidate will demonstrate:

  • Strong systems thinking capability
  • Builder/operator mindset
  • Ability to navigate ambiguity and scale complexity
  • Deep execution orientation
  • Strong communication and stakeholder management skills
  • Comfort balancing strategic planning with hands-on problem-solving

Success Metrics

  • Reduction in system fragmentation and technical debt
  • Accelerated integration timelines for acquisitions
  • Increased enterprise-wide operational visibility
  • Improved scalability and reliability of core platforms
  • Faster decision-making is enabled through a trusted data infrastructure
  • Reduced operational overhead through platform consolidation
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91081718
  • Position Id: 8974193
  • Posted 4 hours ago
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