Data Architect - Marshall Technologies

Job Title: Data Architect
Location:LA
Job Type:Contract

We are seeking a highly skilled Data Architect who thrives in a fast-paced environment and has extensive experience in designing and implementing data architectures in a multi-cloud environment. The ideal candidate will have a strong background in data governance, data pipelines, cloud-native data warehousing, and analytics tools. They will work closely with machine learning and analytics teams to securely deliver data and support data-driven initiatives.

1. Data Pipeline Design: Design and implement secure, scalable data pipelines in a multi-cloud environment, ensuring data is efficiently ingested, transformed, and integrated.
2. Secure Data Interfaces: Create secure internal and external interfaces to support analytics and machine learning teams, ensuring the secure delivery of data.
3. CI/CD for Analytics: Guide developers on implementing CI/CD processes specific to analytics software, ensuring smooth and automated deployment of data solutions.
4. Technical Expertise: Participate in technical discussions, product demonstrations, and provide expertise on data pipelines, ensuring compliance with both business needs and technical requirements.
5. Stakeholder Engagement: Interact with stakeholders to ensure that design, integration, quality, and deployment expectations are met or exceeded, resolving non-compliance issues as needed.
6. Solution Design: Collaborate with technical teams to ensure that data solutions are well-architected and can be successfully delivered across cloud platforms.
7. Solution Review: Coordinate and lead internal design review processes, ensuring adherence to best practices and scalable architecture.
8. Vendor Integration: Act as a technical liaison with third-party vendors to understand integration requirements and implement custom solutions to meet business needs.
9. Technology Adoption: Stay informed about new technologies and integrate cutting-edge solutions into product development lifecycles.
10. Cloud Migration: Define and implement technical roadmaps and strategies for migrating on-premise data platforms to the cloud, ensuring security and scalability.
11. Data Analytics Platform: Architect a secure and scalable data analytics platform that includes data integration, transformation, models, B2B data sharing, and reporting platforms.

• 5+ years of experience in data architecture, data integration, and data governance.
• Proven experience in architecting and implementing cloud-native data solutions and data warehouses.
• Expertise in data pipelines, data transformation, and analytics platforms.
• Strong experience with Snowflake, dbt, Power BI, and ML/AI modeling.
• Deep understanding of CI/CD processes as they pertain to analytics software.
• Experience in multi-cloud environments such as AWS, Azure, or Google Cloud.
• Strong knowledge of data governance, data privacy, and data integrity policies.
• Experience in machine learning and analytics teams and delivering secure, reliable data solutions to support their work.
• Strong interpersonal skills and experience in engaging with stakeholders and technical teams.