Senior Analytics Engineer
Senior Analytics Engineer
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Job Description
As Senior Go-to-Market Analytics Engineer at Mews youll architect the data infrastructure that powers revenue growth across our expanding hospitality platform. Youll lead the transformation of how we understand customer journeys optimize sales processes and scale our business through data-driven insights. Working closely with data teams across Product Finance and Operations youll build bridges between siloed data sources to create a unified view of our business performance. This role offers the unique opportunity to architect our data ecosystem while navigating the exciting challenges of integrating new business systems and newly acquired companies into our platform.
Your mission should you choose to accept it:
Data Architecture
- Design and implement scalable go-to-market data models in dbt (our data modeling tool) and Databricks (our data warehouse) that unify customer insights across sales marketing and customer success
- Lead data governance initiatives that enable secure efficient data sharing between teams while maintaining data quality standards
- Present data insights and architectural recommendations to leadership translating technical concepts into business impact
M&A Integration & System Consolidation
- Orchestrate data integration for newly acquired products and companies transforming fragmented systems into our unified platform
- Design migration strategies that preserve historical data integrity while modernizing legacy architectures
Technical Leadership & Mentorship
- Mentor junior analytics engineers through coaching code reviews pair programming and technical documentation
- Foster a culture of continuous learning by sharing knowledge across data teams and organizing cross-team technical sessions
- Guide the teams adoption of emerging technologies like AI-driven development and data self-service while maintaining focus on business value delivery
Youll be a great fit if you bring a few of the below with you
Must-Have Qualifications
- 5 years of experience as an Analytics Engineer Data Engineer or similar role with demonstrated impact on business outcomes
- Must have hands-on production experience with dbt including advanced features such as incremental models macros and testing framework
- Expert-level SQL skills with proven ability to optimize complex queries on billion-row datasets
- Advanced Python experience in data pipeline automation and advanced analytics
- Hands-on experience with modern cloud data warehouses (e.g. Databricks Snowflake BigQuery)
- Track record of building collaborative relationships with cross-functional teams and translating business needs into technical solutions
- Experience mentoring junior engineers and leading technical initiatives
- Strong communication skills with ability to present technical concepts to non-technical stakeholders
Nice-to-Have Qualifications
- Experience with Databricks specifically
- Background in SaaS companies particularly those with complex go-to-market motions
- M&A data integration experience
- Familiarity with Power BI or similar business intelligence tools
- Experience with AI-powered development tools (Cursor Claude Code GitHub Copilot or similar)
- Knowledge of data governance frameworks and privacy regulations (GDPR CCPA)
Required Experience:
Senior IC
Employment Type
Full Time
