Lead Enterprise Data Architecture

IT ENGAGEMENTS INC
Atlanta, GA, United States
about 1 month ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
0 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Business Analytics Applications Data Analysis Apple IOS Big Data BigQuery Cloud Computing Cloud Engineering Capability Maturity Model Integration
+20 more
Data Architecture Extract Transform Load (ETL) Data Transformation Data Warehousing Relational Databases Middleware Machine Learning NoSQL Scrum Methodology Power BI Salesforce.Com Tableau (Software) Enterprise Application Integration Google Cloud Caching Apache Kafka Data Management Api Gateway Looker Analytics Microservices

Job description

  • Enterprise Caching Architectures
  • Messaging Based Architecture e.g. Kafka
  • Micro Service Architecture
  • Public Facing APIs and API Gateways
  • Enterprise Integration Patterns
  • Data Transformation and ETL

Hot Skills:

  • Cloud Focused:

  • Google Cloud & Big Query
  • Salesforce and Data Cloud
  • AWS and cloud-native architectures
  • Data Focused:

  • Hospitality Data
  • Big Data
  • Relational Data
  • BI Tools & Reporting (Tableau, Power BI, or Looker)

Thankyou Divya Kumari divya@itengagements.com

Requirements

  • Typically, a minimum of 12+ years of progressive work-related experience with demonstrated proficiency in multiple disciplines, technologies, or processes related to the position.
  • 3-5 years of Data Architect experience

Technical skills and Knowledge

  • Technical mastery and competency in all architecture, with vast knowledge of the capabilities and constraints of technologies supported.
  • Understanding the designs and technology footprints of multiple products within a product family.
  • Champion engineering process disciplines (e.g., Scrum, Agile, Kanban, ITIL).
  • Champion industry process improvement programs (e.g., CMMI, IOS 9000, FDA, Six Sigma).

Required Skills:

  • Data Focused:

  • Data Warehouse ecosystems
  • Data Design Principles and Best Practices
  • Reporting and Analytics Design Platforms
  • Data Platforms knowledge for Data Residency decisions
  • BI tools
  • Analytic Tools
  • Decision Science Experience, including Machine Learning or Artificial Intelligence
  • Forecast and Demand Planning Applications
  • Master Data Management Applications
  • Relational & NoSQL Databases
  • Middleware Focused

About the company

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we par…

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