[Remote] Head of Data Engineering

Note: The job is a remote job and is open to candidates in USA. Raise is building an AI-native loyalty platform, and the Head of Data Engineering will own the architecture, development and operation of its data platform. The role connects operational and customer data, establishes trusted datasets, and makes data usable across engineering, product, finance and AI-powered applications.

Responsibilities

• Design and build data architecture that balances reliability, performance and cost
• Develop and maintain integrations across payment platforms, CRMs, analytics tools and operational databases
• Build dependable batch and streaming pipelines with monitoring, automated quality checks and recovery capabilities
• Create consistent data models and clearly defined metrics that teams can trust
• Establish secure access, sensitive-data controls, documentation and data lineage
• Work with product, finance and AI engineers to deliver reliable datasets for analytics, experimentation and machine learning
• Diagnose production issues, improve query performance and keep systems maintainable as usage grows

Skills

• Eight or more years of relevant data engineering or data platform experience, with a track record of building and operating production systems
• At least two years owning a production data platform, including architecture decisions, implementation and operational reliability
• Strong SQL and programming skills, with the ability to write production code and troubleshoot complex data problems
• Deep experience with analytical databases, data modeling, query optimization and changing or late-arriving data
• Experience with API integrations, change data capture, batch and streaming ingestion, and source-to-target reconciliation
• Practical knowledge of observability, automated testing, incident recovery and data security
• The ability to work independently, explain technical trade-offs and translate business needs into dependable systems
• Experience with ClickHouse, commerce or payments data, transformation tooling, identity resolution and experiment instrumentation is valuable

Company Overview

Company H1B Sponsorship