Kyyba - Detroit, MI

posted 3 months ago

Full-time - Mid Level
Detroit, MI
Professional, Scientific, and Technical Services

About the position

The Google Cloud Platform Data Architect will play a pivotal role within the Information/Data Architecture Practice, focusing on major initiatives in Marketing, Sales, and Service, as well as Portfolio management. This position demands a seasoned architect with a robust understanding of data architecture, complemented by hands-on experience in data model design, data quality analysis, and a solid grasp of data analytics architecture. As part of the team, the architect will collaborate closely with enterprise architects, solution architects, business stakeholders, and product teams to formulate strategies, design data models, and establish information flows. The role also involves performing data quality analyses, setting standards and best practices, and guiding product teams through the implementation of these designs. In this capacity, the Data Architect will lead design discussions, create conceptual and logical data models, and maintain comprehensive data dictionaries. They will define reporting strategies and identify data sources for reporting purposes. The architect will also be responsible for conducting data quality analyses, identifying issues, and proposing effective solutions to resolve them. Furthermore, they will guide product teams in creating physical data model designs and ensure adherence to established standards, guidelines, and best practices throughout the design and implementation phases. The architect will facilitate discussions to understand data sources, establish systems of record, and create both current and future state data flows, ultimately crafting an information architecture roadmap that encompasses immediate, near-term, and long-term views.

Responsibilities

  • Lead design discussions and create conceptual data models, logical data models, and data dictionaries.
  • Manage and maintain data models effectively.
  • Define reporting strategy and identify sources for reporting data.
  • Perform data quality analysis, identify issues, and propose solutions to resolve them.
  • Guide product teams in creating physical data model designs and data dictionaries.
  • Review design adherence and ensure standards, guidelines, and best practices are followed.
  • Consult and guide product teams through design and implementation processes.
  • Create an information architecture roadmap with immediate, near, and far views.
  • Facilitate discussions to understand data sources, establish systems of record, and create current and future state data flows.

Requirements

  • 7+ years of data modeling experience with expertise in relational and/or dimensional analysis.
  • 5+ years of experience in data warehouse database design.
  • Deep understanding of data modeling principles and architecture concepts.
  • Extensive experience designing databases that support complex business processes.
  • Experience with database technologies such as Oracle, DB2, Teradata, Hadoop, MS SQL Server, PostgreSQL, and Google Cloud Platform Big Query.
  • Knowledge of data analytics and Google Cloud technologies.

Nice-to-haves

  • Good collaborative and communication skills.
  • Experience with data modeling in enterprise tools such as Power Designer or ERWIN.
  • Ability to work well individually and as a team member.
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