SENIOR CUSTOMER SUCCESS ARCHITECT

Accountabilities: • 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. 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. Benefits: • Competitive compensation aligned with experience and market benchmarks • Remote-friendly or flexible work arrangements • Health and wellness coverage (medical, dental, and related benefits where applicable) • Paid time off and flexible vacation policy • Employee equity or stock-based compensation opportunities • Learning and development support, including technical upskilling resources • Global collaboration with leading enterprise customers and technical teams • Opportunity to work on large-scale data and analytics systems used worldwide • Inclusive and diverse work environment focused on growth and ownership • Strong culture of autonomy, problem-solving, and customer impact How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1