Manager, Analytics Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Recruit, onboard, train, and oversee the performance of the analytics and data engineering team.

• Establish technical standards and manage the dbt repository as a collaborative platform.

• Evaluate pull requests, make architectural decisions, and create guidelines for testing, documentation, continuous integration, and change management.

• Manage the Snowflake data warehouse, dbt, source ingestion and freshness, external tables, along with AWS Glue/CDK tasks.

• Model essential business domains such as orders, contracts, claims, and service orders.

• Drive platform migrations, including transitioning dbt execution to Snowflake-native tools and decommissioning outdated components.

• Collaborate with internal stakeholders to convert business inquiries into models and define roadmap priorities.

• Enhance data quality through schema validation, freshness monitoring, and audits of critical services.

• Conduct on-call duties, monitoring, alerting, incident triage, and follow-up on root causes.

• Facilitate self-service capabilities through comprehensive documentation, semantic consistency, and business intelligence access.

• Automate operational tasks utilizing AI-driven workflows for alert triage, refresh requests, and file processing.

• Report to the Senior Engineering Manager of Data Engineering while managing a remote team.

⛳️ Requirements

• A minimum of 2 years of experience managing engineers in a data or analytics engineering team, encompassing hiring, performance evaluations, and career development.

• Proficiency in advanced SQL and dimensional modeling.

• Extensive experience with dbt, including version control, testing, pull request evaluations, continuous integration, and change management.

• Experience in pipeline engineering with Python and cloud data infrastructure.

• Familiarity with AWS Glue, Step Functions, Lambda, and CDK.

• Experience in on-call support for a data platform, developing alerting systems, and leading incident response efforts.

• Experience providing support to analysts, data scientists, or quantitative teams.

• Capability to translate business inquiries into data models.

• Excellent written communication skills for architecture proposals, incident reviews, and tradeoff summaries.

• Strong judgment in prioritization.

• Extend does not offer immigration-related sponsorship for this position.

🏝️ Benefits

• Competitive salary aligned with experience.

• Comprehensive medical benefits.

• Dental and vision coverage.

• Equity in a rapidly growing early-stage startup.

• Generous and flexible paid time off policy.

• 401(k) plan with financial guidance from Morgan Stanley.

• A collaborative and supportive work environment.

• A diverse team.