Senior AWS Cloud Data Solutions Architect

Essential skills and competencies for this role:

• Data Storage Fundamentals: A solid understanding of various data storage options, including Amazon S3, Amazon RDS, Amazon Redshift, and Dynamo
  
  DB.

• Database Design and Optimization:
  Proficiency in designing efficient database schemas, indexing strategies, and query optimization.

• Big Data Technologies:
  Familiarity with big data tools like Amazon EMR, Athena, and Glue for processing large datasets.

• ETL (Extract, Transform, Load):
  Experience with ETL processes and tools for data integration.

• Data Modeling:
  Ability to create effective data models that align with business requirements.

• Cloud Knowledge: A deep understanding of cloud computing concepts, especially related to Amazon Web Services (AWS).

• Infrastructure Design:
  Ability to design and implement cloud solutions, considering scalability, security, and performance.

• Experience:
  
  Practical firsthand experience with cloud platforms, preferably AWS.

• Best Practices:
  Familiarity with best practices for deploying and managing cloud resources, resource groups, resource tagging, IAC.

• Cloud Governance:
  Knowledge of governance principles within the AWS environment where you’ll oversee PNC’s AWS AI/ML & Data Lab.

• AWS Services:
  Strong knowledge of AWS services, especially those related to data, such as S3, RDS, Redshift, Athena, EMR, Sagemaker, and Glue.

• Serverless Architecture:
  Understanding of serverless computing using services like Lambda.

• High Availability and Scalability:
  Designing highly available, fault-tolerant, and scalable solutions.

• Data Encryption:
  Knowledge of encryption mechanisms for data at rest and in transit.

• Access Control:
  Implementing fine-grained access controls using IAM.

• Compliance:
  Ensuring data compliance with industry standards (e.g., GDPR, HIPAA).

• AWS Glue Data Catalog:
  Proficiency in setting up and managing data catalogs.

• Metadata Management:
  Understanding how to maintain metadata for data lineage and governance.

• Cloud Watch Metrics:
  Set up monitoring for data-related services.

• Performance Tuning:
  Optimize data pipelines, queries, and storage for performance.

• Designs, develops and optimizes highly complex, specialized data warehouses, with flexible and scalable data and ETL architecture, to support business users and Business Intelligence (BI) applications.
• Analyzes business intelligence data and makes recommendations for data warehouse growth and integration for the enterprise.
• Works with IT and business customers to develop requirements for designing the overall data warehouse architecture.
• Provides support and technical guidance to ensure architecture and framework are aligned with BI application needs. .
• Leads and consults on the implementation and integration of data warehouses; ensures data is current and meets organizational quality and integrity standards.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

• Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
• Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

Competencies

Consulting – Knowledge of techniques, roles, and responsibilities in providing technical or business guidance to clients, both internal and external; ability to apply this knowledge appropriately to diverse situations.

Data Architecture – Knowledge and ability to create models and standards to govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in organizations.

Database Structures – Knowledge of and the ability to utilize appropriate database structures to organize and store data in a particular manner.

Data Warehousing – Knowledge of how to collect data from different information sources and distribute them to users; ability to use this information to simplify information systems and make sound business decisions.

IT Architecture –…