Senior Data Engineering Manager (Remote – U.S.)

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.) Pay: $140,000.00 - $160,000.00 per year Benefits: • 401(k) matching • Dental insurance • Flexible schedule • Health insurance • Health savings account • Paid time off • Vision insurance Application Question(s): • Please provide a brief overview of your Data Engineering experience including your expertise with modern data stack technologies (e.g. AWS, Snowflake, dbt, Airflow, GitHub, Matillion, Openflow, Fivetran, etc.) • How many years of experience do you have in a Data Engineering leadership or management role? Work Location: Remote Apply tot his job