Database Engineering Manager

Job Description We are hiring a full-time Data Engineering Manager to lead analytics engineering efforts for a well-established, enterprise-scale financial services organization. This company operates a modern, cloud-based data platform supporting high-volume, highly regulated business operations. The role sits at the intersection of cloud data warehousing, analytics engineering, BI, and system integrations, with a strong focus on stability, security, and speed.

This is a high-ownership role for someone who wants to shape the data strategy, not just maintain pipelines. You’ll lead a small but impactful analytics team, make real architectural decisions, and partner closely with software engineering on integrations that directly power business outcomes. The organization values autonomy, promotes from within, and offers strong work-life balance alongside meaningful technical challenges.

• 5+ years in data engineering or analytics engineering
• 2+ years managing or technically leading a data team
• Deep experience with Snowflake or Azure Data Warehouse
• Advanced SQL and strong data modeling expertise (star schema, SCDs, normalization tradeoffs)
• Hands‑on experience with BI tools (Power
  
  BI, Tableau, or Looker)
• Experience integrating Salesforce Sales Cloud (SOQL, custom objects, relationships)
• Familiarity with ETL/ELT tools such as Airflow, Azure Data Factory, or Airbyte
• Background in data governance, PII handling, and compliance‑driven environments
• Strong ability to translate business logic into scalable technical solutions

• Manage and mentor a team of analysts responsible for dashboards, reporting, and data models
• Own data warehouse architecture, schema design, and performance optimization
• Partner with engineering on ETL pipelines, APIs, and source system changes
• Establish standards for data quality, access controls, and documentation
• Evaluate and implement tools across the modern data stack
• Translate business requirements into reliable, maintainable analytics solutions

• 40% Cloud Data Warehousing & SQL (Snowflake / Azure)
• 25% ETL / Data Integration & Architecture
• 15% BI & Analytics Enablement
• 20% Management, Mentorship & Stakeholder Collaboration

• 50% Hands On
• 25% Management Duties
• 25% Team & Cross-Functional Collaboration

• Medical, Dental, and Vision Insurance
• Vacation Time
• 401(k) with employer match
• Additional employee-focused financial and wellness benefits

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.