Senior Customer Success Architect

Accountabilities:

• Serve as a trusted technical advisor and hands-on operator for enterprise customers, helping them maximize the value of their product analytics environment.

• Apply deep expertise in analytics products and data management to guide customers through data audits, taxonomy improvements, and implementation best practices.

• Help customers map data-flow architectures between analytics platforms and upstream sources such as Segment, mParticle, Snowflake, BigQuery, and RudderStack.

• Develop practical playbooks that support the integration of analytics solutions into additional data flows and business processes.

• Conduct detailed investigations into data discrepancies, identify root causes, and recommend prioritized action plans.

• Audit existing implementations against best practices, including SDK versions, instrumentation patterns, property naming, and event-volume efficiency.

• Produce structured and scored audit reports with clear, prioritized recommendations for remediation.

• Gather, organize, and communicate customer trends and insights to improve internal processes, documentation, and customer-facing services.

• Collaborate with Product, Engineering, Platform Support, Technical Success, and account teams to streamline processes and improve the customer data-management experience.

• Manage customer deliverables effectively, prioritize competing needs, and consistently drive projects through to completion and measurable outcomes.

Requirements

• 5+ years of experience in a technical, customer-facing data or analytics role, such as implementation, solutions or sales engineering, analytics engineering, or data consulting.

• At least 5 years of customer-facing technical experience with a demonstrated ability to successfully engage and deliver outcomes for enterprise accounts.

• Strong understanding of programming languages and technical concepts underpinning modern web and mobile development, with experience in areas such as SQL, JavaScript, Java, Python, Android, iOS, or RESTful APIs.

• Working knowledge of Customer Data Platforms (CDPs) and event pipelines, particularly technologies such as Segment, mParticle, and RudderStack.

• Familiarity with cloud data warehouses, especially Snowflake and BigQuery.

• Understanding of client-side and server-side SDK instrumentation across web and mobile environments.

• Strong knowledge of event taxonomy design, data governance, data quality, and analytics implementation principles.

• Ability to collaborate effectively across time zones with architects, account teams, and other cross-functional stakeholders.

• Strong execution and customer-service orientation, with the ability to prioritize effectively, manage projects, meet deadlines, and drive customer outcomes.

• Curiosity about how technical systems work, combined with a practical, solution-oriented approach to resolving complex customer challenges.

• Excellent communication, collaboration, problem-solving, and stakeholder-management skills.

• Ability to work with humility, take ownership, embrace feedback, and maintain a customer-first mindset.

Benefits

• Competitive compensation and comprehensive benefits designed to support employee health and well-being.

• Medical, dental, and vision insurance coverage, with employer-paid premiums available on select plans.

• Flexible time off and paid holidays.

• Stipends supporting wellness, commuting, learning and development, and home-office equipment.

• Generous parental benefits, including paid parental leave and family-building support.

• Mental health and wellness resources, including access to coaching and therapy services.

• Employee Stock Purchase Program (ESPP).

• Mentorship, management development, and ongoing learning opportunities.

• Charitable giving support and paid volunteer time off.

• Remote work opportunity based in India within a global and collaborative team.

• Exposure to enterprise customers, advanced analytics technologies, and innovative data solutions.