VP of Data Architecture
The Vice President of Data Architecture at Conga leads the enterprise data strategy that underpins a unified, governed, and scalable data ecosystem across all Conga platforms. Reporting to the Chief Technology Officer, this role operates as a key member of the technology leadership team.
About the role
Define and own the enterprise data architecture vision, roadmap, and governance model across all platforms.
Establish canonical data models and a single source of truth strategy across product surfaces.
Drive architectural standards for how data is modeled, stored, integrated, and exposed.
Lead decisions on data platform strategy (warehouse, lakehouse, hybrid) aligned with long-term business needs.
Responsibilities
Lead the transformation toward a unified and scalable data ecosystem, enabling consistent customer experiences, seamless integrations, and trusted, AI-ready data.
Build, lead, and mentor a high-performing data architecture and engineering function.
Influence senior stakeholders across Engineering, Product, and GTM to drive alignment on data strategy.
Establish architectural governance processes, including decision frameworks and ADRs, across the organization.
Act as a trusted advisor to executive leadership on data strategy, risk, and investment decisions.
Requirements
12+ years of experience in data architecture, data engineering, or related disciplines, including senior leadership roles.
Demonstrated success defining and scaling enterprise data strategies for SaaS platforms, including multi-tenant architectures.
Experience leading large-scale data transformations spanning legacy and modern cloud ecosystems.
Deep expertise in Salesforce data models and enterprise-scale integration patterns.
Proven ability to design systems supporting both real-time product experiences and analytics/AI workloads.
Strong knowledge of modern data technologies (e.g., Snowflake, Databricks, BigQuery, Redshift).
Experience with event streaming, CDC, ETL/ELT, and API-driven architectures.
Familiarity with governance, lineage, and cataloging tools (e.g., Collibra, Alation).
Working knowledge of AI/ML data infrastructure, including feature stores and vector-based systems.
Qualifications
Executive-Level Architectural Leadership: Set direction and make high-impact decisions that shape the company’s data strategy for the long term.
Strategic Communicator: Translate complex technical concepts into clear business outcomes for executive stakeholders.
Cross-Functional Influence: Drive alignment across engineering, product, and business teams in highly matrixed environments.
Operational Excellence & Scale: Build systems, practices, and teams that scale with the business while maintaining consistency and quality.
Skills
CLM, CPQ, or revenue operations platforms experience.
Exposure to advanced AI architectures and data platforms supporting agentic or generative AI.
Experience in private equity-backed or high-growth transformation environments.
Thought leadership through publications, speaking engagements, or open-source contributions.
Benefits
In the spirit of the Conga Way, we strive to design easy-to-understand compensation programs that are fair and free from any type of discrimination. In keeping with this approach, we are committed to delivering competitive compensation and benefits packages to our colleagues worldwide and communicating transparently about the structure of our compensation programs.
The posted salary ranges are for the expectations outlined in the job description. We are often open to a wide variety of profiles and sometimes have flexibility within our organizational structure to adjust the role responsibilities up or down should we select a candidate that is less or more experienced than the posted job requirements.
U.S Base Salary Range $252,960—$430,030 USD
Pay
The salary range listed above is for the expectations outlined in the job description. Individual pay is determined by job-related skills, experience, and relevant education or training.
Schedule
Remote (US) with periodic travel to engineering hubs.