New Western is seeking an experienced Senior Data Engineering Manager to lead their data engineering organization and drive the design, development, and optimization of their modern data platform to support analytics, operational systems, AI/ML, and business intelligence across the company.
Requirements
- 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.
- 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.
- Manage the design and deployment of event-driven data processing solutions using AWS Lambda, SQS, SNS, and related serverless patterns.
Responsibilities
- Lead, mentor, and grow a high-performing team of data and platform engineers.
- Oversee the design, build, and maintenance of robust data pipelines and ELT/ET frameworks.
- Supervise the architecture of 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.
Other
- 8+ years of experience in data engineering, including 3+ years in a leadership or management role
- Strong communication skills with the ability to explain complex data topics to technical and non-technical audiences.
- They excel at stakeholder communication, foster strong engineering culture, and bring deep expertise in modern data stacks, cloud platforms, and data lifecycle best practices.
- They are able to work in an Agile and fast paced environment.
- A Collaborative, Results-Driven Culture where your work is valued and visible
