Rearc
51 - 200 employees
🤖 Artificial Intelligence
Artificial Intelligence • Cloud
Rearc is a boutique, engineering-driven services firm specializing in cloud, data, and generative AI solutions. They are known for their innovation and engineering delivery excellence, empowering small teams to achieve significant results and foster creativity. Rearc offers services such as GenAI quickstart, secure data collaboration, data platform foundation, and cloud platform engineering. Their services are comprehensive and adaptable to meet the specific needs of their clients. Rearc has expertise in building foundational data platform capabilities, cloud governance, and the use of AWS products.
Lead Data Engineer – Databricks
🕒 April 1
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Rearc
51 - 200 employees
🤖 Artificial Intelligence
Artificial Intelligence • Cloud
Rearc is a boutique, engineering-driven services firm specializing in cloud, data, and generative AI solutions. They are known for their innovation and engineering delivery excellence, empowering small teams to achieve significant results and foster creativity. Rearc offers services such as GenAI quickstart, secure data collaboration, data platform foundation, and cloud platform engineering. Their services are comprehensive and adaptable to meet the specific needs of their clients. Rearc has expertise in building foundational data platform capabilities, cloud governance, and the use of AWS products.
📋 Description
• Establish and maintain technical excellence within the data engineering team • Design and implement robust data solutions aligning with business objectives • Drive data-driven initiatives and ensure successful delivery • Lead by example, combining strong technical execution with mentorship • Engage with stakeholders to understand data needs and technical constraints • Implement with a DataOps mindset, building reliable and efficient data pipelines • Mentor and develop data engineers, contributing to knowledge sharing and thought leadership
🎯 Requirements
• 10+ years of experience in data engineering, data architecture, or related technical fields • Proven ability to design, build, and optimize large-scale data ecosystems • Strong track record of leading complex data engineering initiatives • Deep hands-on expertise in ETL/ELT design, data warehousing, and data modeling • Extensive experience with data integration frameworks and best practices • Advanced knowledge of cloud-based data services and architectures • Proficiency with modern data engineering frameworks, including Databricks, Spark, and lakehouse technologies
🏖️ Benefits
• Comprehensive health benefits • Generous time away and flexible PTO • Maternity and paternity leave • Access to educational resources with reimbursement for continued learning • 401(k) plan with company contribution
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