C

Conga

Cloud-based revenue lifecycle management platform

Senior Software Architect

Software EngineeringUpdated on Nov 9
Full-timeNo salary listed

About the Job

Requirements

  • 12+ years of software engineering experience, including significant experience in architecture leadership roles.
  • Proven success defining and implementing architecture for large-scale enterprise SaaS platforms and distributed systems.
  • Deep expertise in Java-based application development, cloud-native architectures, microservices, and modern software engineering practices.
  • Strong understanding of enterprise integration patterns, API management, event-driven architectures, and platform engineering principles.
  • Experience designing highly scalable, secure, resilient, and observable SaaS solutions serving enterprise customers.
  • Hands-on expertise with public cloud platforms, preferably Microsoft Azure, Kubernetes, Docker, CI/CD, and Infrastructure-as-Code practices.
  • Strong experience working with relational and NoSQL databases, data modeling, and high-volume transaction systems.
  • Experience designing platform capabilities for enterprise data management, including data ingestion, processing, storage, governance, access, and integration across distributed systems.
  • Experience with modern data platforms and technologies used to manage enterprise data and business objects, such as Databricks, including their integration with operational applications and platform services.
  • Demonstrated ability to lead technology strategy and influence architectural decisions across multiple teams and organizations.
  • Proven ability to drive architectural governance while balancing pragmatism, speed, and innovation.
  • Experience mentoring architects, principal engineers, and senior technical contributors.

Responsibilities

  • Define and drive the architectural vision, technology strategy, and roadmap for the B2B Platform, shared services, and enterprise data capabilities.
  • Lead the design and review of complex, business-critical systems and large-scale modernization efforts.
  • Establish and champion enterprise architecture standards, governance processes, and engineering best practices.
  • Partner with Product, Engineering, Security, Operations, and Data leaders to align technology investments with business objectives.
  • Drive architectural decisions that balance customer needs, business priorities, security, scalability, reliability, and operational excellence.
  • Lead the architecture of enterprise data capabilities, ensuring effective ingestion, governance, access, integration, and reuse of business data across products and platform services.
  • Evaluate and drive adoption of emerging technologies, frameworks, and architectural patterns that accelerate innovation and business outcomes.
  • Mentor Architects, Principal Engineers, and technical leaders while fostering architectural excellence across engineering teams.
  • Promote cloud-native, Azure-based, API-first, event-driven, and scalable architectural approaches across the product ecosystem.
  • Serve as a key escalation point for complex technical challenges, architectural risks, and cross-functional dependencies.
  • Partner with Executive leadership to identify and address technical debt, platform investment opportunities, and strategic technical initiatives.
  • Shape the architecture, scalability, and long-term technology strategy of the B2B Platform.
  • Influence architectural and technology decisions that enable platform-wide consistency, reuse, interoperability, and innovation.
  • Lead the evolution of foundational platform services, enterprise data capabilities, and shared infrastructure supporting Revenue Lifecycle Management, Pricing Solutions, and future platform investments.
  • Drive scalability, reliability, security, observability, and operational excellence across the platform ecosystem.
  • Enable engineering consistency and platform adoption through scalable architectural frameworks, standards, and governance practices.
  • Partner with Product, Engineering, Data, and Executive leadership to align platform investments with strategic business objectives.
  • Advance enterprise data management capabilities, including data integration, governance, accessibility, and business object services.
  • Help build and mentor the next generation of technical leaders, architects, and principal engineers across the organization.

About the Company

Conga

Cloud-based revenue lifecycle management platform

Conga provides cloud-based software that automates and manages the revenue lifecycle for businesses. Its SaaS platform unifies CPQ, CLM, and Document Automation into a single data model and can connect with any CRM, ERP, or cloud system, with modules like Conga CPQ, CLM, and Composer, and AI features for insights and contract risk. It differentiates itself by offering open, system-wide integration and a unified revenue-record across departments to reduce data silos and streamline workflows. The goal is to help companies accelerate revenue, drive profitable growth, and gain a holistic view of commercial operations.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$117M
Headquarters
Broomfield, CO
Founded
2006

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