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AWS-Data Architecture
1 month ago
Data ArchitectureSecurity Expert
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