Role Description: We're hiring a Data Engineering Manager to lead our analytics engineering <br>team and own the strategy, architecture, and delivery of our data platform. You'll manage two <br>analysts, partner with software engineering on ETL/integration work, and make the technical <br>decisions that shape how the organization consumes data. Your priorities are speed, security, <br>and stability—in that order when they conflict. This role requires initiative and ownership. <br>You'll operate with significant autonomy—identifying problems, developing solutions, and <br>driving them to completion without waiting for direction. We need someone who stays close to <br>the work and leads by example.<br>Roles & Responsibilities:<br>• Manage and develop a team of two data analysts focused on reporting, dashboards, and <br>data modeling<br>• Own schema design, data modeling decisions, and warehouse architecture<br>• Optimize query performance, storage costs, and pipeline reliability<br>• Partner with engineering teams on data integration, ETL processes, and source system <br>changes<br>• Establish and enforce standards for data quality, access controls, and documentation<br>• Evaluate and implement tooling decisions across the data stack<br>• Translate business requirements into scalable, maintainable data solutions<br>• Integrate multiple systems with Salesforce Sales Cloud, including internal proprietary <br>and third-party applications and APIs<br>Qualifications:<br>• Bachelor’s Degree in Computer Science and Engineering or equivalent<br>• 5+ years of experience in data engineering, analytics engineering, or a related technical <br>role<br>• 2+ years of experience managing or technically leading a team<br>• Deep expertise with cloud data warehouse: Azure Data Warehouse or Snowflake<br>• Advanced SQL skills and solid understanding of data modeling patterns (star schema, <br>normalization tradeoffs, slowly changing dimensions)<br>• Hands-on experience with at least one BI platform (PowerBI, Tableau, or Looker)<br>• Experience with Salesforce data structures and reporting (SOQL, custom objects, record <br>relationships)<br>• Familiarity with ETL/ELT orchestration tools (Airflow, Azure Data Factory, Airbyte etc..)<br>• Background in data governance, PII handling, or compliance requirements<br>• Ability to understand and document business logic, not just technical implementation<br>• Clear communication skills—you'll interface with both engineers and business <br>stakeholder
