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Cloud Data Platform Architect
hace 3 semanas
We invite you to be part of our team of trailblazers dedicated to helping people discover and enjoy the outside. Come join us. Because on the inside we’re all outsiders. And if it’s outside, we’re all in.
Position Purpose:
Help lead our team on an exciting journey to build a new data and analytics platform in the cloud
As we begin our data transformation, we are looking for a Cloud Data Platform Architect to join our I.T. team. Working closely with business partners, project teams and other I.T. architects and technicians, this person will play a leading role to shape, implement, and sustain our vision for a modern, scalable, and secure data platform in the cloud. This new role will help with the platform architecture, selection, data architecture, solutioning, and engineering of our Enterprise Data Platform. They will ensure that business needs are met, expected capabilities made available, and required service and support levels are achieved as we strive to enable a data-driven business. This position has oversight responsibilities for the continued evolution of the Enterprise Data Platform, architecture strategies, and components at L.L.Bean; ensuring alignment with business goals and industry trends.
**Responsibilities**:
- Join our Enterprise Data Platform project team as a key leader in multiple aspects of the project to bring new data and analytics capabilities to L.L.Bean.- Help lead the definition and implementation of the architecture and technology solutions to stand up our new Enterprise Data Platform in the cloud.- Develop patterns and solutions for migrating and re-engineering existing Data Warehouse data, BI assets and processes to the cloud as well as new feeds of data with disparate data types.- Help identify, document, and implement high-volume batch and real-time data ingestion and pipeline technologies, solutions, and standards for the Enterprise Data Platform.- Shape and evolve Data Governance practices on the Enterprise Data Platform that adhere to Privacy by Design and FAIR principles.- Meet with internal business partners throughout the company to gather and refine their data and analytics requirements and turn them into actionable solutions and architectural designs.- Partner with business and IT teams to understand business strategies and stakeholder requirements and effectively translate them into data and analytics solutions leveraging the Enterprise Data Platform.- Mentor team members in cloud database, data ingestion and pipeline technologies and processes.- Monitor, troubleshoot and repair issues and performance bottlenecks.- Develop and refresh multi-year domain roadmap for the Enterprise Data Platform.- Stay current on industry trends and offerings, plug into user groups, and understand trends and opportunities to ensure we are using the best possible data and analytics tools and techniques.- Establish a muti-zone data platform architecture with appropriate modeling frameworks and access controls in each.- Implement tooling to assist in data governance including data catalog, data classification, policies, access controls, and more.
Education Level: 4-Year Bachelor’s Degree
IT Experience: 7+ years
English level : C1
Skills and Qualifications:
- Technical Skills_- 3+ years of experience in designing and building data platforms on the cloud using various platforms and services- Expert in SQL- Strong familiarity with cloud technologies supporting data warehouses, data lakes and data marts from the major cloud vendors, including:
- Databases and file storage-
- High-volume batch and real-time data ingestion tools and patterns-
- High-volume batch and real-time data pipelining tools and patterns-
- Data governance and data catalog concepts and technologies-
- Strong architecture, systems analysis and design experience in the data warehouse space- Data modeling skills in particular for data warehouse and analytics optimization- Familiarity with data analytics and BI tools used with cloud databases, including:
- Spreadsheet BI tooling-
- Data visualization tooling-
- Advanced analytics tooling and languages for data science and ML modeling-
- Experience with Data Governance concepts and tooling including data catalog/business glossary, classification, policies, access controls and more.- Data Privacy/Security Compliance: PCI, GDPR, CPRA, CPA, CDPA, and more- Log Analysis Tools: Splunk- Testing: Automation, System, Performance- Project Management: Kanban, Scrum, Waterfall- Work Management and Collaboration Tools: Jira, Confluence, SharePoint
- Transferrable Skills_- Highly collaborative and team oriented- Excellent written and verbal communication skills- Ability to influence at multiple levels of the organization- Comfortable navigating through uncertainty or ambiguity- Superior analytical and problem-solving skills- Multi-tasking and work prioritization- Ability to quickly acquire an understanding of business and technology models and ecosystems- Maintain effectiv
