Job Description

Location: San Francisco (Must be onsite 100% of the time no Remote or Hybrid)

Must have at least 15yrs plus as Solution Architect with Teradata experience
Must Have Experience:
1. Teradata experience as a Solution Architect
2. Strong background on ETL/ELT development
3. Experience in playing strategic role in designing, implementing and maintaining scalable, high-performance data solutions using Teradata technologies.
4. Experience in working closely with Business stakeholders, data engineers, and IT Teams to architect data platforms that support analytics, reporting, and decision-making across the enterprise.
5. Experience with TPT, BTEQ, FastLoad, MultiLoad, Teradata utilities

Job Summary:

We are seeking for skilled and experienced Teradata Solution Architect and with a strong background on ETL/ELT development. You will be responsible for playing a strategic role in designing, implementing and maintaining scalable, high-performance data solutions using Teradata technologies. This role involves working closely with business stakeholders, data engineers, and IT teams to architect data platforms that support analytics, reporting, and decision-making across the enterprise.

Key Responsibilities:

Solution Design & Architecture

• Lead the design and architecture of enterprise data warehouse solutions using Teradata.

• Define data models, integration strategies, and performance optimization techniques.

• Translate business requirements into technical specifications and architecture blueprints.

• Ensure solutions align with enterprise architecture standards and best practices

• Deep expertise in Teradata architecture, utilities (TPT, BTEQ, FastLoad, MultiLoad), and SQL

• Strong understanding of data warehousing concepts, dimensional modeling, and ETL/ELT processes.

Technical Leadership

• Provide technical guidance to development and operations teams on Teradata technologies.

• Evaluate emerging technologies and recommend adoption strategies.

• Conduct architecture reviews and ensure adherence to design principles.

Stakeholder Collaboration

• Work with business analysts, data scientists, and executives to understand data needs.

• Present architectural solutions and roadmaps to stakeholders and leadership.

• Collaborate with cross-functional teams to ensure seamless integration of data systems.

Performance & Scalability

• Design solutions that ensure high availability, scalability, and performance.

• Implement best practices for query optimization, indexing, and workload management.

• Monitor system performance and recommend improvements.

Governance & Security

• Define data governance frameworks and ensure compliance with regulatory requirements.

• Architect secure data environments with appropriate access controls and encryption.

• Support audit and compliance initiatives related to data architecture.

Project Management & Delivery

• Lead architecture efforts in large-scale data projects and migrations.

• Develop project plans, timelines, and resource estimates for architecture deliverables.

• Ensure timely delivery of architectural components and documentation.

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