Manager, Analytics Engineering
Posted 1ds ago
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Job Description
Analytics Engineering Manager leading the Snowflake and dbt platform behind Extend’s AI-driven retail post-purchase solutions. Managing data engineers and delivering reliable analytics, risk, fraud, and financial data.
Responsibilities:
- Hire, onboard, develop, and manage the performance of the analytics and data engineering team
- Set the technical bar and own the dbt repository as a shared platform
- Review pull requests, make architecture decisions, and establish standards for tests, documentation, CI, and change control
- Own the Snowflake warehouse, dbt, source ingestion and freshness, external tables, and AWS Glue/CDK jobs
- Model core business domains including orders, contracts, claims, and service orders
- Lead platform migrations, including moving dbt execution to Snowflake-native tooling, and retire legacy components
- Partner with internal stakeholders to translate business questions into models and shape roadmap priorities
- Improve data quality through schema validation, freshness monitoring, and critical-service audits
- Run on-call, monitoring, alerting, incident triage, and root-cause follow-through
- Enable self-service through documentation, semantic consistency, and BI access
- Automate operational work using AI-assisted workflows for alert triage, refresh requests, and file processing
- Report to the Senior Engineering Manager, Data Engineering while leading a remote team
Requirements:
- 2+ years managing engineers on a data or analytics engineering team, including hiring, performance, and career development
- Advanced SQL and dimensional modeling
- Deep dbt experience, including version control, testing, pull request review, CI, and change control
- Pipeline engineering experience with Python and cloud data infrastructure
- Experience with AWS Glue, Step Functions, Lambda, and CDK
- Experience running on-call for a data platform, building alerting, and leading incident response
- Experience supporting analysts, data scientists, or quantitative teams
- Ability to translate business questions into data models
- Clear written communication for architecture proposals, incident reviews, and tradeoff summaries
- Strong prioritization judgment
- Extend does not provide immigration-related sponsorship for this role
Benefits:
- Competitive salary based on experience
- Full medical benefits
- Dental and vision benefits
- Stock in an early-stage startup growing quickly
- Generous, flexible paid time off policy
- 401(k) with Financial Guidance from Morgan Stanley
- Collaborative and supportive environment
- Diverse team




















