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Senior Data Engineering Manager
Location
Texas
Posted
179 days ago
Salary
$140K - $160K / year
Seniority
Senior
Job Description
Senior Data Engineering Manager
Western Computer
• Lead, mentor, and grow a high-performing team of data and platform engineers. • Define the technical vision and roadmap for the data engineering organization. • Partner with leaders across Business Intelligence, Product, Engineering, Tech, and Business teams to translate business needs into a scalable data strategy. • Oversee the design, build, and maintenance of robust data pipelines and ELT/ETL frameworks. • Architect scalable data models and storage solutions aligned with enterprise data standards. • Ensure data systems adhere to best-in-class performance, security, governance, reliability, and scalability. • Evaluate, introduce, and manage modern data tools and technologies. • Lead and improve end-to-end data lifecycle processes, including ingestion, transformation, quality, testing, and monitoring. • Implement data observability and CI/CD for data pipelines. • Ensure optimal performance, uptime, and resilience of mission-critical data workflows. • Design, build, and maintain high-performance APIs and data services that support internal and external applications. • Design and deploy event-driven data processing solutions using AWS Lambda, SQS, SNS, and related serverless patterns. • Lead the development of real-time and streaming data ingestion pipelines using platforms such as Kinesis, Kafka, or equivalent technologies
Job Requirements
- 8+ years of experience in data engineering, including 3+ years in a leadership or management role
- Deep hands-on expertise with the modern data stack technologies (e.g. AWS, Snowflake, dbt, Airflow, GitHub, Matillion, Openflow, Fivetran, etc.)
- Proven track record architecting large-scale, distributed data systems.
- Experience implementing automated testing, CI/CD, data quality frameworks, and observability tools.
- Strong communication skills with the ability to explain complex data topics to 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, maintaining, and integrating APIs (REST, GraphQL, or similar) as part of data products or internal data services.
Benefits
- Medical, Dental, Vision + Short-Term Disability
- 401K with Match
- Flexible PTO
- Opportunities for Growth in a Rapidly Scaling Company
- A Collaborative, Results-Driven Culture where your work is valued and visible
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