Job Description

Senior Data Engineering Manager (Remote ? U.S.)
A nationwide real estate industry leader is seeking a Senior Data Engineering Manager to lead our data engineering organization and drive the design, development, and optimization of a modern enterprise data platform. This is a full-time, fully remote position available from anywhere in the United States.
We?re looking for a leader who can shape long?term data architecture strategy while also rolling up their sleeves to solve complex engineering challenges. You?ll guide a team of talented engineers in building scalable, reliable, and high?performance data systems that power analytics, operational systems, AI/ML, and business intelligence across the company.
If you excel at fostering a strong engineering culture, communicating with stakeholders, and bringing deep expertise in modern data stacks and cloud platforms, we?d love to meet you. Responsibilities

• Lead, mentor, and grow a high-performing team of data and platform engineers
• Define and drive the technical vision, roadmap, and architecture for the data engineering organization
• Partner with leaders across BI, Product, Engineering, and Business teams to translate requirements into scalable data solutions
• Oversee the design, build, and maintenance of robust data pipelines and ELT/ETL frameworks
• Architect scalable data models and storage solutions aligned with enterprise standards
• Ensure best-in-class performance, security, governance, reliability, and scalability of all data systems
• Evaluate, implement, and manage modern data tools and technologies
• Own end-to-end data lifecycle processes including ingestion, transformation, testing, quality, and monitoring
• Implement data observability and CI/CD for data pipelines
• Ensure optimal performance, uptime, and resilience of mission-critical workflows
• Lead the design and development of APIs and data services supporting internal and external applications
• Architect and deploy event-driven solutions using AWS serverless technologies (Lambda, SQS, SNS, etc.)
• Lead development of real-time and streaming data pipelines using Kinesis, Kafka, or similar technologies

Requirements

• 8+ years of experience in data engineering, including 3+ years in a leadership or management role
• Deep hands-on experience with the modern data stack (e.g., AWS, Snowflake, dbt, Airflow, GitHub, Matillion, Openflow, Fivetran, etc.)
• Strong proficiency in SQL and Python
• Proven experience architecting large-scale, distributed data systems
• Experience with automated testing, CI/CD, data quality frameworks, and observability tools
• Excellent communication skills with the ability to convey complex topics to both technical and non-technical audiences
• Background in designing multi-environment (dev/staging/prod) data ecosystems
• Familiarity with Infrastructure as Code (e.g., Terraform) and DevOps practices
• Hands-on experience building and integrating APIs (REST, GraphQL, etc.)

Benefits

• Medical, Dental, Vision, Short-Term Disability
• 401(k) with company match
• Flexible PTO
• Opportunities for growth within a rapidly scaling organization
• Collaborative, results-driven culture where your work is visible and valued

Skills Required