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Data Architect
2 months ago
Roles/Responsibilities:
1) Design and implement data pipeline in a multi-cloud environment.
2) Create secure interfaces both internally and externally to support analytics and machine learning.
3) Guide developers on CI/CD processes as they pertain to analytics software.
4) Participate in technical discussions and product demonstrations and guide data pipeline subject matter expertise on compliance to business needs and technical requirements.
5) Interact with stakeholders to ensure design, integration, quality, and deployment expectations are being met, exceeded or non-compliant.
6) Work closely with technical teams to ensure solutions are well-architected and can be successfully delivered.
7) Coordinate and lead internal solution design review processes.
8) Act as a technical liaison with third-party vendors to understand integration requirements and implement custom solutions.
9) Learning and understanding of new and cutting-edge technologies for utilization within product development and lifecycles.
10) Define and implement technical roadmap and strategies for migrating on-prem data platforms to the cloud.
11) Architect secure and scalable data analytics platforms including data integrations, data models, data transformations, B2B data shares, and user interfaces.
12) Transfer knowledge to LAUSD Personnel.
Mandatory Skills:
- Experience with various software development tools and other related methodologies.
- Technical knowledge and experience in analytics tools and applications of data pipelines in a multi-cloud environment.
- Experience with CI/CD processes as they pertain to analytics tools.
- Experience working with analytics and machine learning teams, supporting them with secure delivery of data to perform their jobs.
- Experience in defining and implementing data governance, data integration, data privacy and data integrity policies.
- Expertise in architecting cloud-native data warehouses, data pipelines, data transformation, data models, analytics and reporting platforms.
- Experience in Snowflake, dbt, Power BI, ML/AI modeling is highly preferred.