Senior Engineering Manager

Employment Type: Full Time

Position Overview

As the Senior Engineering Manager, you will lead by being a highly technical leader who delivers high business impact on projects of increasing dependencies and ambiguity. You will lead a team of individual contributors in the development of technology that saves lives and improves mental and physical health for millions of people. At Aledade, we empower primary care physicians with technology to keep their patients healthy, preventing unnecessary hospitalizations.

Responsibilities

• Build a high performing team by hiring and nurturing engineering talent.
• Provide strong technical leadership, driving technical solutioning and building roadmaps.
• Set aggressive and clear goals and remove all roadblocks for the team to achieve them.
• Work seamlessly and collaboratively with stakeholders across Aledade to achieve business outcomes.
• Work closely with engineering leaders to drive engineering excellence in our processes and systems.
• Establish team goals and technical priorities aligned with organizational objectives.
• Translate technical components into business outcomes for stakeholders.
• Lead, mentor, and grow a team of engineers focused on ingesting and processing clinical data using Databricks.
• Drive adoption of best practices in data pipeline design, scalability, performance tuning, and cost optimization.

Minimum Qualifications

• BS/BTech (or higher) in Computer Science, Engineering, or a related field required.
• 10+ years of production-level experience as an engineer and technical lead building highly scalable and reliable software.
• 5+ years of managerial experience building and leading technical engineering teams.

Preferred Qualifications (KSA's)

• Experience in attracting, hiring, and coaching world-class engineers, including performance management.
• Experience in taking ownership of technology decisions, while delegating and empowering team members.
• Experience communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training.
• Strong communication and relationship-building skills, with experience influencing and aligning multiple stakeholders.
• Strong understanding of data pipelines, schema design, and handling large-scale, complex datasets in a scalable and maintainable way.
• In-depth understanding of the Databricks platform, including clusters, notebooks, workflows, and workspace management.