AWS-Data Architecture

What you will be doing:

• End to End responsibility for data collection, transformation, storage, governance and consumption.
• Manage and define processes of external and internal data integrations.
• Work closely with software engineers and DevOps teams to ensure APIs, data models, connectors, microservices are efficient and performant.
• Lead architecture build self-service data access capabilities and smart APIs to drive data decisions
• Lead cost efficiency, cost optimization efforts to keep data warehouse/virtual warehouse costs low
• Improve data quality, data validation layers to help the BI solutions highlight rich data
• Solid understanding of Kafka fundamentals to leverage kafka streams to provide near real time reporting solutions
• Collaborate with development teams and product owners to implement data strategies and plans that align with business objectives and performance goals.
• Design and implement virtual warehouses for existing and new usecases

What you bring:

• Hands-on experience in developing data enterprise solutions using AWS services
• Extensive hands-on experience with DWH, APIs, Data Lake environments
• Strong understanding of cloud infrastructure and services like EMR, Athena, Scala, Databricks, Snowflake, Spark, RDS, glue, Redshift, apache airflow, SQS, SNS
• Lead architecture of solutions to build self-service composite tools composed of microservices.
• Excellent communication skills, with the ability to communicate technical concepts and solutions to both technical and non-technical stakeholders and management.
• Experience in leading solutions around technology, data, Machine Learning, and Data Engineering, data governance and regulatory compliance, managing deliverables