Enterprise Data Architect

6 days ago


Oakland, California, United States Saxon Global Full time
About the Role

Saxon Global is seeking a highly skilled Data Architect to lead the creation of our strategic enterprise data architecture. As a key member of our team, you will be responsible for designing and implementing a centralized Business Intelligence platform that will serve all groups and users in the department.

Key Responsibilities
  • Data Architecture: Lead the creation of the strategic enterprise data architecture, partnering with internal stakeholders to define principles, standards, and guidelines for data flow, aggregation, migration, curation, model, consumption, and placement.
  • Business Intelligence: Serve as the analytics, BI, and Tableau expert, architecting and building a centralized BI platform that will provide intuitive access to data for all users.
  • Requirements Gathering: Collaborate with business stakeholders to gather requirements, including agile teamwork, people data, and hierarchies of project portfolio work.
  • Data Pipeline Design: Design end-to-end data pipelines, including security review, architecture, and deployment overview.
  • BI Guidelines: Define BI guidelines, including processes for code deployments, monitoring, and authorization.
  • Dashboard Development: Build toolkits to facilitate the creation of dashboards and rapidly iterate, prototype, and implement data visualizations using advanced design and development skills.
  • Team Collaboration: Collaborate across multiple teams and functions to present data in a clear and concise manner, telling stories as they relate to data.
  • Enterprise Data Architecture: Define and develop enterprise data architecture concepts and standards, leveraging leading architecture practices and advanced data technologies.
  • Reporting and Analytics: Automate reporting views used by management and executives to decide where to invest the organization's time and resources, and stay up to date on key initiatives and projects.
  • Data Lake: Create a self-service reporting environment, including a data lake for internal projects and resources.
  • ETL and Data Warehousing: Experience with ETL tools, such as SSIS, and strong data warehousing and business intelligence concepts.
Requirements
  • Experience: 7+ years of working with Tableau and analyzing data, 5+ years in application, data, integration, or strategic architecture, and 1+ year of experience with regulated and safety-critical systems.
  • Skills: Proven ability to benchmark and lead innovation in engineering design practices and guidelines, strong SQL skills, and experience building custom Tableau dashboards.
  • Education: Bachelor's degree in Computer Science, Information Technology, or related field.


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