Senior Engineering Manager – Data
Crisis Text Line
full-time
Posted on:
Location Type: Remote
Location: Remote • California, Colorado, Connecticut, Florida, Illinois, Iowa, Maryland, Massachusetts, Missouri, Montana, New Jersey, New Mexico, New York, North Carolina, Ohio, Pennsylvania, Tennessee, Texas, Utah, Virginia, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $135,520 - $178,060 per year
Job Level
Senior
Tech Stack
AWSPythonSQLTerraform
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
DatabricksAWSPythonSQLTerraformDataOpsMLOpsobservabilityautomationdata reliability
Soft skills
communicationstakeholder partnershipleadershipcollaborationmentoringtechnical excellencecontinuous learninginnovationbalancing operational stabilitycost control