Senior Engineering Manager – Data

Job not on LinkedIn

November 21

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

⛰️ Colorado – Remote

Although this job is listed in Colorado, this company may be open to hiring remote in other states.

+19 more states

🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🏖️ New Jersey – Remote 🌶️ New Mexico – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $135.5k - $178.1k / year

⏰ Full Time

🟠 Senior

👮‍♀️ Software Engineering Manager

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Crisis Text Line

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Non-profit • Social Impact • Wellness

Crisis Text Line is a non-profit organization providing free, 24/7 support for people in crisis. Through text messaging and platforms like WhatsApp, individuals can connect with trained volunteer Crisis Counselors who offer confidential assistance. The organization helps people manage issues such as anxiety, depression, and various forms of abuse, with a mission to move individuals from a state of distress to calm. Crisis Text Line also provides volunteering opportunities and bilingual support, supporting mental health awareness and promoting empathy and resilience in communities.

201 - 500 employees

Founded 2013

🤝 Non-profit

🌍 Social Impact

🧘 Wellness

💰 $23.8M Series B on 2016-06

📋 Description

• Oversee the evolution of our Databricks-based lakehouse and ML platform, defining the technical roadmap for data pipelines and AI/ML infrastructure. • Drive infrastructure-as-code practices with Terraform and make key architectural decisions that enable scalable, reliable global data systems. • Ensure reliability, performance, and cost efficiency across Databricks and AWS by implementing observability, monitoring, and SLA frameworks for critical data pipelines. • Establish best practices for DataOps, MLOps, and data quality while balancing innovation with technical debt and tracking KPIs for platform health, productivity, and business impact. • Partner with Product, Analytics, Data Science, and Research teams to deliver scalable, compliant data solutions. • Collaborate with Developer Platform, Security, and Compliance teams to align shared infrastructure, governance, and business priorities. • Build, mentor, and scale a high-performing data and ML engineering team focused on innovation and reliability. • Foster a culture of technical excellence, collaboration, and continuous learning across the organization.

🎯 Requirements

• 10+ years in data engineering, infrastructure, or ML platforms; 5+ years in people leadership. • Proven experience building Databricks + AWS ecosystems. • Proficiency in Python, SQL, and Terraform with strong DataOps/MLOps principles. • Track record improving observability, automation, and data reliability. • Experience with data governance and compliance (HIPAA/SOC 2). • Excellent communication and stakeholder partnership across technical and non-technical teams. • Preferred: Built or scaled an MLOps function or major data modernization program. • Managed global or multi-region data environments. • Experience balancing innovation with operational stability and cost control. • Mix of enterprise discipline and startup agility.

🏖️ Benefits

• robust benefits package