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Jobs or company...
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Data Infrastructure & Governance Architect

Salary undisclosed

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Dice
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JD/Description of Role

Develop Architecture, high-level design for enhancing cloud data platform capabilities in the areas like Machine Learning, Data Lifecycle Management with focus on Data Archival, Data Governance utilities & best practices.
Develop prototypes for new & complex use cases in data engineering using tools like DBT, Airflow, S3, Athena, Glue, RDS by leveraging engineering best practices like Infrastructure as Code, SQL as code.
Work with data engineering teams to identify opportunities for improving developer efficiency, implementing data security & data quality measures.
Work with data governance teams across various functions to define data security policies, data governance processes and utilities.
Continuously refine data lake architecture on AWS for cost efficiency, enhanced security, user experience, resiliency, and alignment with industry best practices

Primary (Must have skills)*

Total IT 15 Years
Minimum 5 years of experience as Data Infrastructure architect with AWS tech stack
Minimum 10 years of experience in data infrastructure, AWS infrastructure as code, data integration with programming
Worked on Data Governance and Data Security related projects with hands-on experience.
Worked on Infrastructure as code tools such as Terraform, Used GitHub tool as infra pipeline and for CI/CD
Experience in building custom applications, search portals, monitoring & observability solutions using AWS Cloud native technology stack.
Knowledge of Data Mesh/ Data Fabric with exposure to various architecture frameworks

Soft skills/other skills (If any)

Good communication skills
Team bonding and collaboration
Good attitude

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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