| Mandatory Skills | Datawarehouse, Datalake/lakehouse(Implementation experience)(Primary) Python Pyspark & Big data Redshift Data Warehouse MAtillion Redshift ETL Apache Airflow AWS Services e.g. S3,RDS,KMS etc Product Development & Architecture experience good to have |
| Client Interview Needed for Selection (yes / No) | Yes |
| Detailed JD (Pl share the Detailed Description, 1 liner JD will not work) | Responsible for architecture, designing, engineering, and managing delivery of Regional architecture powered by products, platforms, tools, infrastructure, science, and analytics. Senior Architect of Data & Analytics Platform reports directly to the Platform Architecture lead and is part of the Senior Engineering & Architecture leadership team. Responsible for design,creating common and central data assets, and insights capabilities to deliver transformational value for our customers, partners, and internal organization. This role also will lead multiple transformation initiatives, drive strategy, and foster innovation. This role will own and lead all the data & analytics platform initiatives Data Lake Strategy & Governance, Data Engineering and Platform development, Business Analytics,Devops, Reporting & Insights, Data science and Client/AI models. Provides strategic oversight and implementation approaches for data management aligning with strategic business principles and roadmaps. Provides data subject matter expertise to business and development groups and works closely with cross functional leaders across organization Evaluates new data management technologies and consistently generates new ideas. Work with highly talented Senior Engineering , Architects, Data Engineering and Business Analytics teams with multiple development streams and objectives and an organization with 50+ engineers. This role requires a strong, innovative leader that can independently create and contribute to strategic vision in transforming, enhancing, and building the data platform and strategy in partnership with the other platform architects Extensive experience on AWS Cloud technologies must including on Redshift,Sagemaker,Glue etc Extensive experience on Data warehouse,Datalake or Lakehouse is must Extensive experience on Python,Pyspark and RDBMS SQL is plus |
Last updated on Aug 11, 2022
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