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Data Architect

4 months ago

Torrance, United States Siri InfoSolutions Full time

Job Description

Job Description

Title: Data Architect Location: Torrance, CA

Job Description: Responsibilities Design the structure and layout of data systems, including databases, warehouses, and lakes Select and implement database management systems that meet the organization's needs by defining data schemas, optimizing data storage, and establishing data access controls and security measures Deliver exceptional business value by enhancing data pipeline performance, ensuring timely orchestration, and upholding data governance. Translates high-level business requirements into data models and appropriate metadata, test data, and data quality standards Manages senior business stakeholders to secure strong engagement and ensures that the delivery of the project aligns with longer-term strategic roadmaps Leads and participates in the peer review and quality assurance of project architectural artifacts Defines and manages standards, guidelines, and processes to ensure data quality Works with IT teams, business analysts, and data analytics teams to understand data consumers' needs and develop solutions Evaluates and recommends emerging technologies for data management, storage, and analytics Requirements A bachelor's degree in computer science, data science, engineering, or related field At least five years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives Experience leading projects involving data lakes, data warehousing, data modeling, and data analysis Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Redshift, Snowflake, Databricks) Experience with various database platforms, including DB2, MS SQL Server, PostgreSQL, Couchbase, MongoDB, etc. Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques Ability to assess traditional and modern data architecture components based on business needs Experience with business intelligence tools and technologies such as Informatica, Power BI, and Tableau Exceptional communication and presentation skills Strong analytical and problem-solving skills Ability to collaborate and excel in complex, cross-functional teams involving data scientists, business analysts, and stakeholders Ability to guide solution design and architecture to meet business needs

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