What are the responsibilities and job description for the AWS Data Lead position at Jobs via Dice?
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Key Responsibilities:
Key Responsibilities:
- Our customers are looking for differentiating their businesses by leveraging Data as a strategic asset. You goal would be to engage customers in envisioning and building creative modern data solution such as cloud native Data platform implementation, BI and Analytics solutions.
- Collaborating with customer stakeholders, IT leadership, Architecture leadership to develop modern data solution and architecture, especially for cloud native Data platforms solution architecture using AWS cloud platform
- Developing technology roadmaps and best practice with precise steps of how to get there including architecture design, data modelling, and implementation of Modern Data platform and analytics use cases across the analytics maturity.
- Lead strategy session for Data & Analytics maturity with a focus of fulfilling business requirements around performance, scalability, flexibility, and cost
- Provide insights into modern Data & Analytic technologies and new use cases business intelligence and predictive analytics
- Lead design, prototyping and delivery of software solutions within the cloud data eco-system to help develop new capabilities for customer business (P&C Insurance)
- Lead modern data solution conversations as technology expert to help customer see modern data solutions as enable for organization to be data driven.
- Assess the Customers' knowledge of AWS platform and overall cloud readiness to support customers through a structured learning plan and ensure its delivery.
- Should have 12 years of experience with last 4 years in implementing Cloud native Data Solutions for variety of data consumption needs such as Modern Data warehouse, BI, Insights and Analytics
- Should have experience in architecture and implementing End to End Modern Data Solutions using AWS and advance data processing frameworks like Databricks etc.
- Should have experience in architecture and implementing End to End Modern Data Solutions using AWS and advance data processing frameworks like Databricks etc.
- Architecting robust and scalable data solutions using AWS services for data ingestion, transformation, storage, and access.
- Building and maintaining complex data pipelines using AWS Glue, Lambda functions, and other relevant tools.
- Manage AWS databases such as RDS, DynamoDB, and Redshift for performance optimization and scalability.
- Implementing data quality checks, data security measures, and access controls for data integrity and compliance.
- Deep understanding of AWS core data services like S3, Glue, Redshift, DynamoDB, Kinesis, and EMR.
- Architect and maintain Lakehouse platforms using tools like Delta Lake, Apache Iceberg
- Experience in using column-oriented data file format like Apache Iceberg as the table format for analytical datasets.
- Experience using tools like Python, SQL, and Spark.
- Data Mesh and Data Products designing, and implementation knowledge will be an added advantage.