AWS Data Architect (Databricks certified)

Role: AWS Data Architect  

Location: Remote  

Note: Must have Hands on Experience on AWS, DataBricks .

12 years of experience in IT

• Architect, design and build Data Lake infrastructure platform, primarily based on AWS infrastructure, ensuring that the infrastructure is universally available and secure.
• Must have hands-on experience in AWS services, Data Bricks, S3 bucket, Appflow, Lambda, Glue, Redshift etc.
• Articulating the end-to-end data mesh vision aligned to the broader organization strategy and objectives.
• Providing innovative and practical data mesh architecture that is in line with the business objectives.
• Map the sources, transformation, and interfaces of critical data through the enterprise.
• Design the storage, movement, and processing patterns that will align to our technology vision.
• Development of high-quality database solutions and review and interpret ongoing business report requirements.
• Build the canonical data definitions and views for key systems, in close collaboration with business owners.
• Build foundational patterns which mitigate risk, improve data quality, and support compliance.
• Leverage sound judgment and problem solving to tackle some of most important data management problems and connect the dots to broader implications of the work.
• Build awareness, increase knowledge sharing and drive adoption of modern technologies and architecture patterns in this domain.
• Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization
• Operate as a trusted advisor for data transformation and machine learning ecosystem, helping to shape use cases and implementation in an integrated manner.
• Bring in a larger context to multiple software teams across multiple lines of business and guide their architecture evolution in response to business changes.
• Must have knowledge in one at least one ETL tool, stored procedures, functions and Strong experience in building and managing EDW.
• Research required data and data gathering based on business requirement and build appropriate and useful reporting deliverables.
• Initiative-taking, collaborator, individual contributor, result oriented, well organized, effective communication and reporting skills.
• Ability to successfully work under tight project deadlines.