Starbucks is looking for a lead data solution architect to guide their enterprise data modeling, data architecture design, data governance, data integration, and performance optimization to create a connection through data.
Requirements
- In-depth knowledge in architecting and implementing data Lakehouse platforms, including strong experience with Databricks platform and Unity Catalog.
- Experience with data management principles and best practices, including data governance frameworks using Collibra tool.
- Ability to create and manage conceptual, logical and physical data models, data definitions, data dictionaries. Experience with data modeling tool such as ER Studio.
- Ability to define, apply, review, and improve enterprise standards in object naming conventions, business vocabularies, and data models.
- Strong experience in designing data solutions to address data standards and principles both from functional and technical requirements perspective.
- Experience in Azure cloud and data bricks platform, AI/ML, reporting and analytics tools and technologies.
- Good understanding of master data and metadata management procedures to ensure data accuracy, consistency and compliance.
Responsibilities
- Creating conceptual, logical, and physical data models to represent how data is structured and used across the enterprise.
- Providing solution architecture for specific business requirements as well as the overall enterprise data ecosystem.
- Developing and providing guidance on enterprise best practices for data ingestion, processing, and integration
- Establishing policies, standards, and procedures for data quality, security, and access to ensure data integrity and compliance.
- Designing, implementing, and maintaining data lake to support reporting, analytics, AI/ML and other business requirements.
- Ensuring data from different sources can be seamlessly integrated and accessed.
- Monitoring database/data lake performance and identifying areas for improvement to ensure efficient data access and processing.
Other
- A people-first style, strong multi-audience communications, and high emotional intelligence
- Ability to communicate technical concepts to both technical and non-technical audiences.
- Highly committed and an excellent team player.
- Experience in working closely with multiple technical teams to review and document data solution architecture.
- Experience with collaborating with stakeholders to understand data needs and translating business requirements into actionable solution design
