Data Infra & Governance Architect
Exp :13 needed
Key Responsibilities
Develop Architecture highlevel 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
Qualifications:
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 handson 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
architecture frameworks,aws tech stack,cloud,terraform,data,data infrastructure architect,glue,data engineering,data security,github,data mesh,aws architecture,sql,aws cloud native technology stack,data quality measures,data fabric,data governance,athena,airflow,rds,s3,infrastructure,ci/cd,infrastructure as code,dbt