Senior Customer Success Architect
New
IndiaFull-TimeSenior
SalaryCompetitive compensation aligned with experience and market benchmarks
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLJavaJavascriptSnowflakeRESTful APIsBigQuery
Requirements
- 5+ years of experience in technical, customer-facing roles such as solutions engineering, analytics engineering, data consulting, or implementation engineering.
- Strong proficiency in data and programming concepts, including SQL, JavaScript, Python, Java, REST APIs, and mobile/web development fundamentals.
- Experience working with event pipelines and CDPs such as Segment, mParticle, or RudderStack.
- Familiarity with cloud data warehouses such as Snowflake or BigQuery.
- Strong understanding of event taxonomy design, instrumentation strategies, and data governance principles.
- Experience working with client-side and server-side SDKs across web and mobile environments.
- Proven ability to manage complex technical engagements with enterprise customers in a fast-paced environment.
- Strong problem-solving skills with an execution-oriented and customer-centric mindset.
- Ability to collaborate effectively across distributed, global teams and time zones.
- Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
Responsibilities
- Act as a technical advisor for enterprise customers, guiding them on data architecture, implementation quality, and product analytics best practices.
- Perform in-depth audits of customer implementations, including SDK usage, event taxonomy, instrumentation patterns, and data governance standards.
- Design and review data flow architectures between analytics platforms and upstream systems such as CDPs and data warehouses.
- Investigate and resolve data discrepancies, providing structured analysis and actionable remediation plans.
- Develop playbooks and best-practice frameworks to help customers integrate analytics tools into broader data ecosystems.
- Collaborate with Product, Engineering, Platform Support, and Customer Success teams to improve internal processes and customer outcomes.
- Translate complex technical findings into clear recommendations that improve data quality, reliability, and business insights.
- Gather and synthesize customer insights to continuously improve documentation, tooling, and service delivery.
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