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Protocol Intelligence
Data-driven signals on your job's competitivenessHybrid metro role with a known SaaS brand and remote flexibility creates moderate candidate competition.
Highly domain-specific GTM, CRM, entitlement and customer-success data expertise limits cross-industry transferability.
Explicit 8+ years, architect-level expertise, and specialized governance and Snowflake requirements raise filtering strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Own the architecture and governance of a unified customer data model across GTM systems, ensuring a trusted single source of truth for identity, entitlement, and engagement data.
Design and implement reliable, near-real-time data pipelines integrating CRM, CSP, PX, Community, Education, and other GTM platforms for scalable AI and digital strategies.
Establish data governance frameworks, partner cross-functionally to support AI/LLM readiness, and enable targeted campaigns and accurate measurement of digital impact.
Minimum Requirements
8+ years of experience in data architecture, data engineering, or GTM systems architecture in SaaS or multi-product environments.
Strong technical expertise in SQL, schema design, ETL architecture, and data pipeline development with tools like Snowflake.
Experience with CRM and CSP ecosystems (e.g., Salesforce, PX, Community, Education) and cross-system integrations.
Work Experience Required: 8+ years; Location: Hyderabad (hybrid role).
Ideal Candidate Profile
Senior individual contributor with expertise in designing GTM data strategies and scalable data architectures across multiple platforms.
Strong strategic and technical orientation able to translate business problems into technical data solutions and align with stakeholders across Revenue Operations, Digital, and Product.
Experienced with AI-ready data architecture principles, including semantic layers and data models suitable for LLM querying and preventing AI hallucination.