Senior Data Engineering Manager

Job not on LinkedIn

🕒 December 10, 2025

🤠 Texas – Remote

🤠 Texas – Remote

💵 $140k - $160k / year

⏰ Full Time

🟠 Senior

👮‍♀️ Software Engineering Manager

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Western Computer

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1987

🤝 B2B

☁️ SaaS

🏢 Enterprise

B2B • SaaS • Enterprise

Western Computer is a Microsoft Cloud Solutions Provider that specializes in providing customized Microsoft Dynamics 365 and Power Platform solutions to help businesses improve their operational efficiency. With over 35 years of experience, Western Computer focuses on implementation, upgrades, ongoing support, and tailored training for various industries, including manufacturing, distribution, and consumer packaged goods. Their commitment to customer satisfaction and expertise in cloud ERP solutions makes them a trusted partner for businesses looking to transform their technology landscape.

📋 Description

• 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

🎯 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