AWS Data Architect

Description

Candidate must have 10+ years of IT working experience with at least 5 years of experience on AWS Cloud environment is preferred
Experience and knowledge of AWS Cloud Architectures, Databases, Data models and Data integration patterns.
Conduct data profiling activities, discover data quality challenges, document the impacts to business and make recommendations for data quality improvements
Expertise in defining new architectures and ability to drive project from architecture standpoint with AWS Cloud platform.
Experience with Ingestion & Transformation framework development and enhancements
Define and design Data pipeline architecture for data ingestion processes using AWS native services.
Design and optimize data models on AWS Cloud using AWS data stores such as Redshift, RDS, S3, Glue Data Catalog, Python, Lake formation, etc
Collaborate with different teams to ensure quality and compliance to the Enterprise Data Architecture by participating in data analysis/design activities and conducting appropriate technical data design reviews at various stages during the development life cycle. This includes providing data modelling expertise with both relational and dimensional modelling techniques.
Guide, educate, and mentor the Data Architecture Strategy directives, principles, & standards to individuals who play data-related roles (e.g., data analysts, ETL developers, report developers & business analysts).
Establish and maintain data standards, policies, and architectures.
Provide direction, guidance, and oversight for data quality controls.
Identify opportunities for standardizing data descriptions, integration and archiving, and elimination of unnecessary redundancy.
Capture and maintain metadata, creating business rules for the use of data
Design and optimize data governance framework including the management of data, operating model, data policies and standards.
Participate in client design workshops and provide trade-offs and recommendations towards building solutions.
Collaborating with teams to resolve technical requirements, feasibility, and expectations.
Mentor Data engineers in coding best practices and problem solving.
Working experience with Agile Methodology
Experience working with source code management tools such as GitHub
Experience working with Jenkins or any CI/CD Pipelines using AWS Services