Imagine what you could do here. The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.

Apple’s Sales organization generates the revenue needed to fuel our ongoing development of products and services. This in turn, enriches the lives of hundreds of millions of people around the world. Our sales team, is in many ways, the face of Apple to our largest customers.

Apple is seeking a Manager/Lead Data Architect to join our Data Management Office as part of our Worldwide Sales organization. In this position, you will lead a diverse team of individuals responsible for designing and influencing the development of a data architecture, including the vision, strategy, and principles for managing and interacting with governed data. You will partner cross-functionally to drive data resource development based on business needs and architecture principles to support a broad, cohesive strategy. Through your influence, you will play a critical part in driving our technology vision forward for years to come.

In this role, you will:

– Collaborate with the Data Governance team to provide a standard common business vocabulary, express strategic data requirements, outline high level integrated designs to meet these requirements, and align with enterprise strategy and related business architecture
– Define best practices, evangelize data solutions, and influence adoption
– Manage data as a critical asset across several business units
– Define a robust and scalable data architecture to manage data according to formal concepts, principles, and techniques within the governance platform
– Facilitate and promote the design and development of high-quality data resources within the data architecture to meet current and future business data and information needs
– As the team grows, build a team of technical resources responsible for the details of data resource design, development, and delivery of managed data
– Provide encouragement and support to team members, including communicating individual and team goals, identifying areas for mentoring and guidance, and implementing development programs for the team to build vital skills and knowledge to achieve performance targets
– Facilitate cooperation and coordination between functional and technical resources, ensuring data assets are designed and developed from business needs, to logical design, to physical implementation
– Collaborate with other IT teams for the design, development, and implementation of enterprise information data models, data flows, data life cycle, and overall data management leading practices in a complex environment
– Drive decision-making processes to align with business priorities and objectives related to key architecture solutions
– Research emerging technology trends, new models, vendor solutions and market opportunities to identify potential industry disruptors that could help the organization dominate their position in the market
– Proactively communicate data methodology, architecture, and results to a diverse set of stakeholders
– Increase adoption of DMO’s data management solutions within broader IT projects

Typically requires minimum of 12+ years of related experience5+ years of people leadership experience in data architecture, data management solutions, and/or similar field driving business transformationSignificant background in data governance, including designing and implementing master data, governance workflows, and platforms (e.g., Informatica, Alation, Collibra, Ataccama, Talentd, etc.)Experience with data catalog, metadata management, and data discoverabilityDeep expertise in architecting and delivering infrastructure and services in public cloud environments (e.g., AWS, GCP, or Azure)Knowledge of large scale data architectures and/or cloud data warehouse solutions (e.g., Snowflake, BigQuery, Azure, etc.)Expert understanding of data models, database schemas, and optimization in domain driven designStrong understanding of data products and data servicesFamiliarity with data exchange and interoperability, micro-services, and/or API’sBachelor’s degree or equivalent experience