Senior Cloud Data Architect

2 days ago


Seattle, Washington, United States CloudBC Labs Full time
Job Summary
We are seeking a highly skilled Senior Cloud Data Architect to lead our data engineering team at CloudBC Labs. As a key member of our organization, you will be responsible for designing and implementing large-scale cloud-based data pipelines, architectures, and data sets.

About the Role
The ideal candidate will have 12+ years of experience with object-oriented/object function scripting languages, including Python and Java. They will also have expertise in building and optimizing data pipelines, architectures, and data sets, as well as knowledge of Incorta ETL Pipelines. Additionally, they should have strong computer science fundamentals in data structures, algorithm design, problem solving, and complexity.

Responsibilities
* Leads large-scale, complex, cross-functional projects build technical roadmap for the WFM Data Services platform
* Leading and reviewing design artifacts
* Build and own the automation and monitoring frameworks that showcase reliable, accurate, easy-to-understand metrics and operational KPIs to stakeholders for data pipeline quality
* Execute proof of concept on new technology and tools to pick the best tools and solutions
* Supports business objectives by collaborating with business partners to identify opportunities and drive resolution;
* Communicating status and issues to Sr Starbucks leadership and stakeholders;
* Directing project team and cross functional teams on all technical aspects of the projects
* Lead with engineering team to build and support real-time, highly available data, data pipeline and technology capabilities
* Translate strategic requirements into business requirements to ensure solutions meet business needs
* Define & implement data retention policies and procedures
* Define & implement data governance policies and procedures
* Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
* Enable team to pursue insights and applied breakthroughs, while also driving the solutions to Starbucks' scale
* Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of structured and unstructured data sources and using big data technologies.
* Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
* Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
* Perform root cause analysis to identify permanent resolutions to software or business process issues

What We Offer
* An estimated salary of $180,000 - $220,000 per year, depending on experience.
* Opportunities for professional growth and development in a dynamic and innovative company.
* A collaborative and supportive work environment with a team of experienced professionals.
* Comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and paid time off.

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