Data Warehouse Engineering Manager

Vaga não está no LinkedIn

🕒 Abril 27

🏄 California – Remoto

🏄 California – Remote

💵 $132.181 - $174.478 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

👮‍♀️ Gerente de Engenharia de Software

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ExpertHiring

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2012

🎯 Recrutamento

🤝 B2B

👥 RH Tech

Recruitment • B2B • HR Tech

A ExpertHiring é um serviço de caça-talentos de ponta, especializado em conectar talentos excepcionais, conhecidos como 'Rockstars', com clientes de diversos setores. Utilizando a tecnologia exclusiva Area Talent Map™, conduzem buscas de mercado abrangentes para identificar os candidatos mais qualificados além dos sites tradicionais de emprego. O foco está na combinação eficiente de talentos, garantindo que os clientes recebam os 10% principais de candidatos para atender às suas necessidades específicas, economizando tempo e recursos no processo de contratação.

Descrição

• Lead, mentor, and develop a high-performing team of data engineers, fostering an engineering culture centered on collaboration, innovation, and continuous improvement. • Architect, design, and manage data warehouse and lakehouse solutions on Databricks and Azure, ensuring scalability, security, and compliance with healthcare regulations. • Evaluate and implement AI and machine learning technologies within Databricks and Azure environments to optimize data processes and accelerate analytics capabilities. • Implement DevSecOps principles across the data engineering environment, integrating security, compliance, and automation into every stage of the development lifecycle. • Develop and manage CI/CD pipelines for data engineering workflows to promote automated testing, deployment, and environment consistency. • Drive automation across data ingestion, transformation, and quality frameworks to deliver efficient, robust, and scalable data processes. • Collaborate with Analytics, IT, and business partners to deliver secure, efficient, and compliant data warehouse solutions that meet organizational data needs. • Oversee data modeling, integration, governance, and data quality frameworks that ensure accuracy, consistency, and business trust in analytic data sets.

🎯 Requisitos

• Bachelor’s or master’s degree in computer science, information systems, data engineering, or related field. • Minimum of seven (7) years of experience in data engineering or data warehouse architecture, including at least three (3) years in a technical leadership position. • Two (2) years of supervisory experience with demonstrated ability to mentor and develop team members. • Deep expertise in Databricks architecture including Delta Lake, Apache Spark, and MLflow, with strong experience implementing complex data pipelines and transformations. • Hands-on experience architecting and deploying analytics and data infrastructure on Microsoft Azure (Data Factory, Azure SQL, Storage, etc.). • Proven experience implementing DevSecOps frameworks, secure data operations, and governance in regulated industries - healthcare experience strongly preferred. • Strong understanding of CI/CD, infrastructure-as-code, and automation tools such as GitHub Actions, Azure DevOps, or equivalent technologies. • Experience integrating AI and machine learning capabilities to streamline data workflows and enhance analytical insights.

🏖️ Benefícios

• Comprehensive, lucrative salary and benefits