AWS Data Architect
4 weeks ago
Job Location: LAKE FOREST, IL ( 3 DAYS ONSITE/HYBRID)
Job Duration: Long-TermJob DescriptionPosition Details:
- We are seeking an advisory consultant to develop the data science platform for advanced analytics, including a blueprint for architecture, infrastructure, enabling data science across various business units, and best practices. Should have atleast 15+ years of work experience and recent 5+ years working hands on in AWS Data Stack.
- Comes with extensive experience in leading complex AWS-based Big Data and Fast Data architecture engagements for global organizations with interactions with Delivery teams and customer stakeholders.
- Ability to define Application, Integration and Pipeline Data architecture and design guidelines for applications
- Lead discussions around AWS technology strategic roadmap with leadership teams, senior stakeholders and decision makers.
- Should be able define steps to establish an advanced analytics platform for different business users/options.
- Definition of architecture options, pros/cons, reusable frameworks, infrastructure, technology, tools, and best practices for advanced analytics, covering real-time and batch data ingestion and processing.
- Assistance in building advanced analytics architecture and infrastructure to support data science across different business units.
- Definition of the overall data science and analytics lifecycle.
- Outline of steps and provision of guardrails/governance/best practices for onboarding the first data science customer for their use case.
- Development of a chargeback model for the data science business groups.
- Deep background with ability to take charge of detailed architecture designs in either or combination of the following areas
- Enterprise Integration (AWS IOT and API Gateway)
- Enterprise Cloud Strategies (AWS)
- Technology Modernization (AWS Lambda functions, Domain Driven Design, API Management)
- ETL/ELT, Data Pipeline and Data Science Workbench (AWS Glue, EMR, Athena)
- Data Governance and Data Quality Management (AWS Glue Catalog)
- Data Modelling
- Messaging (SNS, Kafka)
- AWS Redshift, DynamoDB
- Credible experience of leading end to end transformation architecture led engagements with clear outcome based models
- Appreciation and understanding of technologies like AI, Deep Learning and Gen AI desirable but experience not mandatory
- Expertise in atleast 4 of the following
- Python
- DevOps, Containers and Kubernetes
- PowerBI/Quicksight/
- API design & development
- RESTful services, SOA, Micro services
- Object Oriented Design, Multi-threading
- Strong knowledge on Data Structures and design patterns.
- Strong knowledge on Non Functional requirements
- Strong knowledge on profiling, refactoring, Unit testing, CI, CD
- Azure DevOps/Confluence/JIRA, Docker, JIRA, Jenkins, Git or SubVersion apart from build tools and frameworks
- Enterprise Architect/Rational System Architect/UML Designer
- Ability to engage with CXOs and Senior Customer Leaders
- Very strong communication skills, ability to lead and influence discussions towards desired outcomes
- Team player with ability to collaborate and direct multidisciplinary teams
- Hands-on coding and code review ability
- Business driven with focus on consulting revenues
- BS/BA in Computer Science, Information Technology, or an equivalent combination of education or experience.
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