Staff Analytics Engineer - Product Data Instrumentation
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Key skills for this role
Role Overview
Own event instrumentation and behavioral data at Salla.
This is a senior individual-contributor role with company-wide leverage.
Work inside the engineering development lifecycle through PRDs, design reviews, and pull requests.
Partner with Product so behavioral metrics trace back to deliberately designed, documented, and monitored events.
Key Skills for This Role
Full Job Posting
Role Overview
Own event instrumentation and behavioral data at Salla.
This is a senior individual-contributor role with company-wide leverage.
Work inside the engineering development lifecycle through PRDs, design reviews, and pull requests.
Partner with Product so behavioral metrics trace back to deliberately designed, documented, and monitored events.
Core Responsibilities
- Own the event taxonomy, tracking plans, schemas, identity model, and their validation.
- Design, develop, and maintain data models and transformation pipelines.
- Collaborate with stakeholders to understand data needs and build scalable solutions.
- Ensure data quality through rigorous testing, validation, and monitoring.
- Proactively identify and resolve data issues.
- Maintain and document the data warehouse structure, data dictionary, and lineage.
Data Enablement
- Define and enforce data modeling best practices.
- Partner with analytics and business teams to improve self-serve access to reliable metrics and insights.
- Improve developer experience by automating workflows and simplifying data discovery.
Required Qualifications
- At least 6 years of experience in analytics engineering, data engineering, product analytics infrastructure, or software engineering.
- At least 3 years of direct ownership of event instrumentation and tracking.
- Experience designing an event taxonomy and tracking plan from scratch and driving adoption across engineering teams.
- Hands-on experience with event collection or CDP platforms such as Segment or Jitsu and product analytics platforms such as Amplitude or Mixpanel.
- Production fluency in at least one of TypeScript, JavaScript, Kotlin, Swift, PHP, Go, or Python.
- Expert SQL and hands-on dbt experience with high-volume event data in a columnar warehouse.
- Working knowledge of streaming architecture, delivery semantics, idempotency, deduplication, and late-arriving data.
- Experience with server-side tagging, consent management, and privacy regulation.
- Knowledge of identity resolution, sessionisation, and cross-platform stitching.
- Ability to influence engineering teams without authority and communicate excellently in writing.
Nice to Have
- Proficiency working in Arabic.
- Experience working in the GCC.
- Experience in e-commerce, marketplaces, fintech, or multi-tenant SaaS platforms.
- Depth in mobile instrumentation, including native SDKs, install attribution, deep links, and offline buffering.
- Familiarity with tracking-plan governance or event observability tooling such as Avo, Segment Protocols, or Trackingplan.
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