Senior Data Engineering Manager

Senior Data Engineering Manager (50% Leadership / 50% Hands-On)

Full-Time | Hybrid | Dallas–Fort Worth (Preferred) | Also open to TX, Florida, Charlotte, Raleigh, Kansas City, St. Louis, Nashville, Chicago, or Denver

A nationwide real estate industry leader is hiring a Senior Data Engineering Manager to lead a modern data engineering organization and build scalable enterprise data solutions. This role is a 50/50 blend of leadership and hands-on development.

You will manage a team of three experienced engineers:

• 
  Principal Data Engineer
  
• 
  Senior Data Engineer
  
• 
  Snowflake Platform Engineer
  

This position is hybrid, with strong preference for candidates who can be onsite in DFW for the first few weeks of onboarding, then a few days per month.

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What You’ll Do

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  Lead, mentor, and manage a team of three data engineers
  
• 
  Split responsibilities evenly between leadership and hands-on engineering
  
• 
  Define the data engineering strategy, roadmap, and architecture
  
• 
  Build, optimize, and maintain scalable ETL/ELT pipelines and data workflows
  
• 
  Architect data models and storage solutions on AWS and Snowflake
  
• 
  Ensure strong performance, security, governance, and reliability across platforms
  
• 
  Own the full data lifecycle: ingestion, transformation, testing, quality, monitoring
  
• 
  Implement CI/CD, automated testing, and data observability tools
  
• 
  Build APIs and data services (REST, GraphQL)
  
• 
  Develop real-time and streaming pipelines using Kinesis, Kafka, or similar technologies
  
• 
  Deploy event-driven solutions using AWS serverless (Lambda, SQS, SNS)
  
• 
  Partner with BI, Product, Engineering, and business teams on scalable data solutions
  

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What You Bring

• 
  8+ years of data engineering experience, including 3+ years in a management role
  
• 
  Ability to operate in a 50/50 leadership + hands?on capacity
  
• 
  Deep expertise with AWS, Snowflake, and modern data engineering tools
  
• 
  Experience with dbt, Airflow, Matillion, GitHub, Fivetran, or similar technologies
  
• 
  Strong SQL and Python skills
  
• 
  Experience designing distributed data systems and multi-environment data ecosystems
  
• 
  Skilled in real-time/streaming data pipelines (Kinesis, Kafka, etc.)
  
• 
  Experience with CI/CD, data quality frameworks, and observability
  
• 
  Excellent communication skills with technical and non-technical stakeholders
  
• 
  Familiarity with Terraform or other Infrastructure-as-Code tools
  
• 
  Hands-on API design/integration experience