200+ applicants

Company

Original Job Post

TUEREN, Inc. · 2 days ago

Director, Global Data Engineering

California, United States

Full-time

Remote

Director

10+ years exp

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Hiring Manager

Liliana R. Pulido

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Responsibilities

Provide strategic direction and technical leadership to engineering teams for developing scalable, robust software solutions.

Define and execute data acquisition and integration strategies, promoting data quality and compliance standards.

Recruit, develop, and retain engineering talent, setting clear goals and fostering a collaborative work environment.

Communicate technical concepts effectively to non-technical stakeholders and manage relationships with external partners for project delivery.

Qualification

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Required

Strong understanding of emerging technologies, industry trends, and best practices in data management.

Knowledge of relational and non-relational data structures, theories, principles, and best practices.

Understanding of data lifecycles, data computation principles, data stores and a solid understanding of CI/CD principles.

Experienced in Agile methodologies & DevOps approach to maintaining pipelines and databases.

Proven track record in designing and implementing self-service data platforms, enabling business users to access and analyze data independently with minimal technical assistance.

Strong expertise in integrating and managing data workflows involving SAP systems, including experience in the extraction, transformation, and loading (ETL) of data to and from SAP environments to support enterprise-wide data solutions.

Demonstrated ability to optimize resource allocation and costs, coupled with expertise in architecting scalable data solutions using modern design patterns to enhance performance and reduce operational expenses.

Knowledge of data privacy regulations (GDPR, CCPA, CRPA) and the impact these regulations have on data engineering framework.

Have an ability to prioritize workload and handle multiple programs and at times meet tight deadlines.

Strong problem-solving and analytical skills.

Strong facilitation and consensus building skills.

Strong oral and written communication skills; Ability to communicate by simplifying complexity.

Excellent ability to communicate large-scale projects and their impact on other decisions.

Be proactive, requiring minimal supervision with strong time management or organization skills.

Proven experience leading large scale projects in an engineering team.

Extensive experience with Databricks (DLT, Medallion Architecture, Lakehouse Concepts, etc) and Amazon Web Services (AWS) with a deep understanding of their respective data services and offerings.

Strong proficiency in cloud-based data storage solutions such as Amazon S3 and Google Cloud Storage, including data ingestion, data organization, and data lifecycle management.

In-depth knowledge of Tableau's data architecture and engineering capabilities, with proven experience in optimizing Tableau for high performance and efficient data processing across large datasets

Knowledge of data governance and security practices specific to Databricks, AWS and Google Cloud, including IAM (Identity and Access Management), encryption, and access control.

Knowledge of Databricks and AWS machine learning and AI services, such as Databricks MLFlow and Amazon SageMaker, for leveraging data insights and building intelligent applications.

Understanding of cost optimization strategies and techniques specific to Databricks, AWS and Google Cloud, including resource provisioning, autoscaling, and leveraging spot instances.

Preferred

Experience with Google Business Suite (Gmail, Drive, Docs, Sheets, Forms) preferred.

Bachelor or Master's degree in Computer Science, Information Systems, or related fields preferred, or a combination of education and equivalent work experience. An advanced degree is a plus.