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Lead Data Platform Engineer/Jr Architect

Hallmark Global Solutions Ltd

Lead Data Platform Engineer/Jr Architect


US Remote


Visa :GC and USC are encouraged to apply

Note :CRM / GTM(Go to Market Exp is required)

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
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