What are the responsibilities and job description for the Senior Data Architect position at iSpace, Inc?
Job Details
Senior Data Architect Location: Torrance, CA (Hybrid of 2 days onsite along with remote work)
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
