A remote Data Analytics role at RYZ Labs. 3+ years of experience as a Data Engineer or Analytics Engineer, with a strong focus on event-based data systems and customer data platforms
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Partner with Product Managers, Marketers, and Engineers to define, implement, and QA Segment tracking plans, ensuring consistent and reliable event data across web, mobile, and backend systems
Serve as the technical owner for Segment event pipelines, proactively monitoring schema drift, naming violations, delivery issues, and Protocols violations
Develop and manage custom mappings, traits, and transformations in Segment, including Segment Functions, to support downstream destinations such as Braze, Amplitude, and Snowflake
Enable Marketing teams to activate audiences and campaigns by ensuring accurate, timely, and reliable customer data delivery
Collaborate with Data Platform Engineers to scale Airflow-based orchestration workflows and implement testing frameworks for event and customer data quality
Conduct periodic audits, validation testing, and regression checks to ensure data completeness and integrity across environments
Maintain documentation, event naming conventions, and instrumentation standards to improve data literacy and consistency across teams
Support experimentation, attribution, and customer lifecycle initiatives through robust event tracking and monitoring practices
3+ years of experience as a Data Engineer or Analytics Engineer, with a strong focus on event-based data systems and customer data platforms
Deep familiarity with CDPs, ideally Segment, including Tracking Plans, Protocols, Connections, Destinations, and Functions
Strong understanding of SQL, dbt, and Snowflake
Experience designing event schemas and collaborating with developers on instrumentation across web, mobile, and backend applications
Knowledge of key marketing and growth concepts including user identity resolution, customer traits, conversion tracking, campaign attribution, and event-triggered workflows
Passion for data quality, validation, monitoring, and governance practices
Experience integrating tools such as Braze, Amplitude, Google Ads, or Facebook Pixel through Segment destinations
Familiarity with Airflow, Python/pandas, Git, and modern data workflow management practices
Excellent communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders
Experience supporting experimentation and A/B testing frameworks
Familiarity with modern analytics engineering best practices and observability tooling
Experience working in fast-paced, cross-functional product organizations
Reliable and scalable event tracking across all customer touchpoints
Improved data quality and reduced instrumentation inconsistencies
Faster activation of marketing audiences and campaigns
Strong collaboration between Product, Marketing, Engineering, and Data teams
Well-documented and governed tracking standards across the organization
RYZ Labs
Data Analytics
34 open roles on Sydicom
RYZ Labs is a Web3 product studio known for developing decentralized applications and infrastructure. The company builds innovative solutions within the blockchain ecosystem.
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