Data Infra & Governance Architect
Client - Exelixis/Winwire
Location - Alameda CA,
Experience - Min 13 years, Maximum 20 years strictly
Key Responsibilities
- 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
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 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
Sandeep | Lead Recruiter Rcube IT LLC
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