Data Strategy and Architecture Lead

**About the Role**Global Data Infrastructure and Strategy (DI&S) within Uber's customer support business (aka Community Operation) is responsible for making Uber customer support data available for reporting and analytics. We are seeking a highly skilled and experienced Data Strategy and Architecture Lead to play a pivotal role in transforming data foundation and Architecture for Community Operation. As the lead, you will be responsible for defining and executing our data infrastructure and strategy, overseeing the development of data architecture, and ensuring alignment with analytics and business objectives.

You will collaborate with cross-functional teams to drive data literacy, design scalable data pipelines, and implement best practices to unlock the full potential of our data assets. The ideal candidate will bring deep expertise in data infrastructure, strategy, architecture, and a proven track record of translating complex business needs into actionable data solutions.**Key Responsibilities**- Understand Uber's data infrastructure, platform, solution and tool to be able to develop right Data Strategy and design effective data solution to maximize impact of Uber-wide tooling to create/manage/use data assets- Collaborate with stakeholders to identify data requirements, design data models, and work with data engineer to improve data pipelines for product and program analytics- Provide best practice guidance and hands-on help to analysts to design and develop standard data pipelines that meet our standard- Develop and execute a comprehensive Data Strategy that aligns with the CommOps data and analytics vision and objectives- Lead the design of a robust data architecture that guides data modeling, integration, processing and delivery standards enabling modern data product development- Define and design data observability and data quality standards to ensure data consistency and accuracy- Develop best practice guidelines for all areas of data management and enable analysts and engineers to take advantage of the guide- Stay current with industry trends and emerging technologies in data architecture and solution**Basic Qualifications**- Bachelor's or Master's degree in Computer Science/Engineering or Information Technology or related field- 7+ years experience in Data Strategy, data architecture & modeling, data solution design, data engineering or similar role- Basic proficiency with advanced SQL queries- Experience in data management, ETL pipeline design and development on Hadoop/Hive and Spark based technologies- Strong communication and leadership skills, with the ability to collaborate with cross-functional teams and senior leadership**Preferred Qualifications**- Hands on experience designing solution architectures / blueprints for large scale data platforms- Proven experience as a data strategist or architect, preferably in a leadership role- Strong hands-on experience in data management, data warehousing, and data modeling- Excellent problem solving experience in large scale complex data warehousing environment- Experience with Hadoop, Hive, Spark, Presto and YARN- Hands on experience coding data pipeline using Python scripting- Experience with Airflow or similar data pipeline orchestration tool- Experience with dimensional modeling on Hive or similar open source database- Understanding of distributed data and storage systems and processing- Proven experience working in cross-functional highly matrix environments with good collaboration and communication skills- Candidates with the love of solving complex large scale data challenges with a go-getter mentality are highly preferred- Experience working in customer centric organizations## **About the Team**Community Operations (CommOps) is the voice and face of Uber, and its largest org (10k+ employees). We work across the platform (Rides, Eats, Direct, U4B, Freight and more) and are responsible for customer support, social media, sales / conversion, and safety response.

We are also the Voice of the Customer to the Tech/Ops teams.The Data Infrastructure and Strategy (DI&S) team is the central Analytics and Insights (A&I) team and responsible for building the global data foundation for all reporting and analytics for CommOps. Our projects are typically broad in scope, which means there is tremendous opportunity to make a huge impact on the business. This role provides an opportunity to play a leadership role within the team and help shape the best in class customer support experience across all Uber data products and services globally.For New York, NY-based roles: The base salary range for this role is USD$176,000 per year - USD$196,000 per year.You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp.

You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits).Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A).Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office.

For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.