Enterprise Data Architect

3 weeks ago

Richmond, California, United States Lorven Technologies Full time
Job Description:

As an Enterprise Data Modeler at Lorven Technologies, you will be responsible for providing expert support across the enterprise information framework. This includes analyzing and translating business needs into long-term solution data models by evaluating existing systems and working with a business and data architect to create conceptual data models, data flows. You will develop best practices for Data Asset development, ensure consistency within the system, and review modifications of existing cross-compatibility systems. Additionally, you will optimize data systems and evaluate implemented systems for variance discrepancies and efficiency. Your responsibilities will include creating conceptual data models to identify key business entities and visualize their relationships, defining concepts and rules, and presenting and communicating modeling results and recommendations to internal stakeholders and Development teams. You will also ensure and enforce a governance process to oversee implementation activities and ensure alignment to the defined architecture. Furthermore, you will perform data profiling/analysis activities that help to establish, modify, and maintain data models, develop canonical models, Data as a Service models, and Knowledge of SOA to support integrations, and analyze data-related system integration challenges and propose appropriate solutions with a strategic approach. You will also establish processes for governing the identification, collection, and use of corporate metadata, take steps to assure metadata accuracy and validity, and establish methods and procedures for tracking data quality, completeness, data redundancy, and improvement. Finally, you will conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks, create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving, and ensure that data strategies and architectures are in regulatory compliance. This role requires a strong understanding of data privacy practices and laws, as well as excellent written and oral communication skills, presentation and interpersonal skills, and the ability to present ideas in user-friendly language. Experience in writing queries (SQL, Python, R, Scala) as needed and experience with various data technologies such as Azure Synapse or SQL Server, Snowflake, Databricks is also required.

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