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Cloud Data Architect

2 months ago

Los Angeles, California, United States Estrada Consulting Incorporated Full time
About the Role

We are seeking a highly skilled Cloud Data Architect to join our team at Estrada Consulting Incorporated. As a Cloud Data Architect, you will be responsible for designing and implementing data pipelines in a multi-cloud environment, creating secure interfaces for analytics and machine learning, and guiding developers on CI/CD processes.

Key Responsibilities
  • Design and Implement Data Pipelines: Develop and implement data pipelines in a multi-cloud environment to support business needs.
  • Secure Interfaces: Create secure interfaces for analytics and machine learning to ensure data integrity and compliance.
  • CI/CD Guidance: Provide guidance to developers on CI/CD processes as they pertain to analytics software.
  • Technical Discussions: Participate in technical discussions and provide guidance on data pipeline subject matter expertise.
  • Stakeholder Interaction: Interact with stakeholders to ensure design, integration, quality, and deployment expectations are met.
  • Technical Liaison: Act as a technical liaison with third-party vendors to understand integration requirements.
  • Technical Roadmap: Define and implement technical roadmap and strategies for migrating on-prem data platforms to the cloud.
  • Data Analytics Platforms: Architect secure and scalable data analytics platforms, including data integrations, data models, data transformations, and user interfaces.
Qualifications
  • Minimum 10 Years IT Experience: Candidates shall have a minimum of 10 years working in Information Technology with at least 5 years of recent experience in the following:
  • Software Development Tools: Experience with various software development tools and other related methodologies.
  • Analytics Tools: Technical knowledge and experience in analytics tools and applications of data pipelines in a multi-cloud environment.
  • CI/CD Processes: Experience with CI/CD processes as they pertain to analytics tools.
  • Analytics and Machine Learning: Experience working with analytics and machine learning teams, supporting them with secure delivery of data.
  • Data Governance: Experience in defining and implementing data governance, data integration, data privacy, and data integrity policies.
  • Cloud-Native Data Warehouses: Expertise in architecting cloud-native data warehouses, data pipelines, data transformation, data models, analytics, and reporting platforms.
  • Preferred Skills: Experience in Snowflake, DBT, Power BI, and ML/AI modeling is highly preferred.