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Data Architect

Salary undisclosed

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The ideal candidate must thrive on working in a fast-paced environment and demonstrate

the following:

Experience with various software development tools and other related methodologies.

Technical knowledge and experience in analytics tool 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.

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 discussion, product demonstrations and provide guidance on

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-compliance.

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 cloud.

11) Architect secure and scalable data analytics platform including data integrations,

data models, data transformations, B2B data shares, and user interface.

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.
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