Senior Data Architect

4 days ago

Torrance, United States Robert Half Full time
Job DescriptionJob DescriptionWe are offering a long term contract employment opportunity for a Senior Data Architect in the automotive industry, located in Torrance, California. As a Senior Data Architect, you will be responsible for designing and implementing data models and database management systems, ensuring data security, and enhancing data pipeline performance. This position will be based in a hybrid work environment, requiring on-site presence for 2-3 days a week.

Responsibilities:
• Design and implement the structure of conceptual, logical, and physical data models, including databases, warehouses, and lakes.
• Select and apply database management systems that align with the organization's needs, optimizing data storage and establishing data access controls and security measures.
• Understand and adhere to data confidentiality, security, and compliance needs, applying data protection rules at storage, compute, and consumption layers.
• Design data protection solutions at the database, table, column level, and APIs based on enterprise standard data security, privacy architecture principles, and reference architectures.
• Enhance data pipeline performance, ensure timely orchestration, and uphold data governance.
• Translate high-level business requirements into data models, appropriate metadata, test data, and data quality standards.
• Engage with senior business stakeholders to ensure that project delivery aligns with strategic roadmaps.
• Participate in the peer review and quality assurance of project architectural artifacts.
• Define and manage standards, guidelines, and processes to ensure data quality.
• Collaborate with IT teams, business analysts, and data analytics teams to understand data consumers' needs and develop solutions.
• Evaluate and recommend emerging technologies for data management, storage, and analytics.- A bachelors degree in computer science data science engineering or related field - At least five years of relevant experience in the 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 Microsoft SQL Server PostgreSQL Couchbase MongoDB etc. - Understanding of entity-relationship conceptual logical and physical 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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