Senior Data Architect

Senior Data Architect Location: Torrance, CA (80% onsite = 4 days/week onsite and 1 day/week remote)

Contract Duration: April 2025 – May 31, 2026

We are looking for a Senior Data Architect that will be dedicated to the following areas:

• Understand data confidentiality, security, compliance needs and apply data protection rules including data sharing, filtering, and fencing at storage, compute, and consumption layers.
• Design data protection solutions at database, table, column level and APIs based on enterprise standard data security, privacy, architecture principles and reference architectures.
• 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.

Duties will include the following:

• Translate high-level business requirements into data models and appropriate metadata, test data, and data quality standards.
• Manage senior business stakeholders to secure strong engagement and ensures 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.

 Required Skills and Expertise:

•  Bachelor's Degree in Computer Science, Data Science, Engineering, or related field
• Minimum of 10 years of relevant experience in design and implementation of data models (Erwin) for enterprise data warehouse initiatives
• Experience leading projects involving cloud 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), real-time data distribution (Kinesis, 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 security, quality tools and techniques
• Ability to design traditional/relational and modern big-data architecture 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 need