Description
We are looking for a senior Data Engineer. This position combines architectural leadership with hands-on development across a modern cloud data ecosystem, with a strong focus on building dependable, scalable, and efficient data solutions. The role will help shape engineering standards, strengthen platform governance, and support high-quality data delivery for enterprise analytics and emerging AI-driven use cases.
Responsibilities:
Provide technical direction to engineering teams and guide the successful execution of complex data platform initiatives.
Create and enhance robust data pipelines and reusable data products that support scalable analytics and reporting needs.
Develop and refine cloud-based data solutions using Snowflake, dbt, Fivetran, and Azure services.
Build automation-first, metadata-driven processing frameworks to improve consistency, maintainability, and operational efficiency.
Design curated data structures using established modeling approaches such as Data Vault, Kimball, and dimensional modeling.
Improve platform performance through tuning, cost management, and scalability planning across data workloads.
Establish and reinforce best practices for data quality, governance, lineage tracking, observability, and CI/CD delivery.
Support Azure-based integration, storage, compute, and DevOps capabilities required for reliable end-to-end data operations.
Enable data foundations that can support advanced analytics, AI/ML initiatives, and modern analytical architectures.
Requirements
12+ years of experience in data engineering and enterprise data platform design.
Advanced hands-on expertise with Snowflake, dbt, and Fivetran in production environments.
Strong background working with Microsoft Azure services and DevOps or CI/CD practices.
Demonstrated experience building large-scale data models, frameworks, and architecture patterns for enterprise use.
Proven ability to lead technical teams, conduct code reviews, and define engineering standards.
Solid knowledge of data governance, data quality controls, and operational monitoring practices.
Experience with data modeling methods such as Data Vault, Kimball, and dimensional modeling.
Familiarity with data platforms that support AI/ML, including modern analytics architectures, is preferred.
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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: rhalfint
- Position Id: 02310-0013511415
- Posted 1 hour ago
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