Location Details: Torrance, CA
Work Type: Hybrid- Less than 60%
Resource needs to be onsite 2-3 days a week.
No Corp t0 Corp - Sponsorship is available
Must have: Min 10 years as a Data Architect - Please don't submit your profile if you are not qualified.
Job Description:
What will this person be working on:
• Manage senior business stakeholders to secure strong engagement and ensure that the delivery of the project aligns with longer-term strategic roadmaps
• Lead and participate in the peer review and quality assurance of project architectural artifacts
• Define and manage standards, guidelines, and processes to ensure data quality
• Work 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
Position Success Criteria (Desired) - 'WANTS’
• A bachelor’s 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, MS 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
