Lead data engineer

Requirements

Must have:

– A minimum of eight years of experience in architecture, data, or IT. – At least two years of experience in data modeling and/or engineering. – A minimum of two years of experience in data cataloging and/or classification. – At least two years of experience in data engineering and/or data transformation. – Proficiency in architecting and implementing data Lakehouse platforms, particularly with experience in the Databricks platform and Unity Catalog. – Familiarity with data management principles and best practices, including governance frameworks using tools like Collibra. – Capability to create and manage conceptual, logical, and physical data models along with data definitions and dictionaries. – Experience using data modeling tools such as ER Studio. – Strong understanding of master data and metadata management to ensure data accuracy and compliance. – Familiarity with Azure cloud, Databricks platform, AI/ML technologies, reporting, and analytics tools is beneficial. – Experience collaborating with data engineers and data scientists to enhance data integration workflows for scalability and efficiency. – Knowledge of hub-and-spoke data architecture and data mesh principles is a plus. – Demonstration of excellent communication and collaboration skills, with the capability to explain technical concepts to diverse audiences.

Responsibilities:

• Develop conceptual, logical, and physical data models to illustrate how data is structured and utilized across the organization. – Provide solution architecture to meet specific business needs and maintain the overall enterprise data ecosystem. – Establish and advise on best practices for data ingestion, processing, and integration across the enterprise. – Create policies, standards, and procedures to ensure data quality, security, access, and compliance. – Design, implement, and manage a data lake to support reporting, analytics, AI/ML, and other business necessities. – Ensure seamless integration of data from various sources for efficient access. – Monitor the performance of databases and data lakes, identifying improvement opportunities for effective data access and processing.

• ---

Company:

At Starbucks, we strive to be a distinctive company that not only honors coffee and its deep-rooted traditions but also fosters a sense of community. We take pride in nurturing exceptional partners driven by a commitment to service. We invite you to join us as a lead data solution architect, where you will play a pivotal role in enhancing our enterprise data modeling, architecture design, governance, integration, and performance optimization. In your position, you will work closely with both business and engineering teams to design solutions for data ingestion, processing, and syndication, ensuring data is organized for optimal accessibility and security. You will translate business needs into technical solutions while adhering to best practices and standards to maintain the long-term vitality of our data platform. As part of our team, you will enjoy access to a comprehensive benefits package that includes medical, dental, and vision insurance, retirement plans, and educational opportunities through our partnership with Arizona State University. We are an equal opportunity employer and are committed to providing reasonable accommodations for applicants with disabilities. Join us, and let’s make an impact together, inspiring connections one cup at a time.