| AWS-Data Architecture at Remote, Remote, USA |
| Email: [email protected] |
| From: kaleem, RBC [email protected] Reply to: [email protected] Job description Data ArchitectureSecurity Expert Onsite to Ohio Responsibilities Understand data confidentiality security compliance needs and apply data protection rules including data sharing filtering and fencing at storage compute and consumption layers Design data protection solutions at database table column level and APIs based on enterprise standard data security privacy architecture principles and reference architectures Design the structure and layout of data systems including databases warehouses and lakes Select and implement database management systems that meet the organizations needs by defining data schemas optimizing data storage and establishing data access controls and security measures Deliver exceptional business value by enhancing data pipeline performance ensuring timely orchestration and upholding data governance Translates highlevel business requirements into data models and appropriate metadata test data and data quality standards Manages senior business stakeholders to secure strong engagement and ensures that the delivery of the project aligns with longerterm strategic roadmaps Leads and participates in the peer review and quality assurance of project architectural artifacts Defines and manages standards guidelines and processes to ensure data quality Works with IT teams business analysts and data analytics teams to understand data consumers needs and develop solutions Evaluates and recommends emerging technologies for data management storage and analytics Requirements A bachelors degree in computer science data science engineering or related field At least five years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives Experience leading projects involving data lakes data warehousing data modeling and data analysis Proficiency in the design and implementation of modern data architectures and concepts such as cloud services AWS Azure GCP realtime data distribution Kafka Dataflow and modern data warehouse tools Redshift Snowflake Databricks Experience with various database platforms including DB2 MS SQL Server PostgreSQL Couchbase MongoDB etc Understanding of entityrelationship modeling metadata systems and data quality tools and techniques Ability to assess traditional and modern data architecture components based on business needs Experience with business intelligence tools and technologies such as Informatica Power BI and Tableau Exceptional communication and presentation skills Strong analytical and problemsolving skills Ability to collaborate and excel in complex crossfunctional teams involving data scientists business analysts and stakeholders Ability to guide solution design and architecture to meet business needs Keywords: business intelligence information technology microsoft AWS-Data Architecture [email protected] |
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| Fri Aug 02 19:05:00 UTC 2024 |