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Senior Data Engineering Manager
Job in
Irving, Dallas County, Texas, 75084, USA
Listed on 2026-06-01
Listing for:
Search Partner Group
Full Time
position Listed on 2026-06-01
Job specializations:
-
Software Development
Data Engineer
Job Description & How to Apply Below
Senior Data Engineering Manager (50% Leadership / 50% Hands‑On)
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.
What You’ll Do- 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, Graph
QL) - 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
- 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, Git Hub, 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
Position Requirements
10+ Years
work experience
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