GTM Data Architect

About This Role:

We’re looking for a full-time GTM Data Architect to join our G&A team reporting to the Chief AI & Transformation Officer. This role is a hybrid role based out of our Hyderabad location.

What You'll Do:

• Architect a unified customer data model spanning identity, entitlement, and usage across all GTM and product systems.
• Design and implement data pipelines that ensure reliable, near-real-time synchronization between CRM, CSP, PX, Community, Education, and other external data sources.
• Establish governance frameworks for data ownership, quality standards, and change management across systems and teams.
• Resolve identity fragmentation: standardize user and account keys, and reconcile duplicate records across disparate platforms.
• Integrate entitlement logic into GTM workflows so Sales, CS, and Digital teams can target campaigns and measure impact confidently.
• Partner with RevOps, Digital CS, and Analytics to design data systems with LLM-readiness as a first-order requirement—ensuring data models and semantic layers are interpretable by AI querying tools.
• Design for agent consumption alongside traditional BI, building deterministic answer frameworks that prevent hallucination in AI-generated insights.
• Define data documentation and lineage so future projects build on a clear, stable foundation.
• Collaborate with engineering and product teams to align data design with system capabilities and release cycles.

What We're Looking For:

• Senior IC / Architect level expertise: 8+ years of experience in data architecture, data engineering, or GTM systems architecture, ideally in a SaaS or multi-product environment.
• Deep understanding of customer and usage data models, identity resolution, entitlement management, and cross-system integrations.
• Experience designing and optimizing data pipelines (e.g., Snowflake, etc.) to ensure high reliability and scalability.
• Strong grasp of CRM and CSP ecosystems (Salesforce, PX, Community, Education) and the logic of how data flows between them.
• Proven track record of establishing data governance and ownership models across multiple cross-functional teams.
• Hands-on technical fluency in SQL, schema design, and ETL architecture; ability to design scalable, reliable pipelines.
• Strategic mindset; capable of seeing the full GTM data landscape and translating business problems into technical design requirements.
• Clear communicator who can align complex technical architecture with RevOps, Digital, and Product stakeholders.
• Familiarity with AI-ready data architecture principles, including semantic layer design for LLM querying and vector-compatible data structuring.