Lead Enterprise Data Architecture

IT ENGAGEMENTS INC
Atlanta, United States of America
7 days ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Atlanta, United States of America

Tech stack

API
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Business Analytics Applications
Data analysis
iOS
Big Data
Google BigQuery
Cloud Computing
Cloud Engineering
Capability Maturity Model Integration
Data Architecture
ETL
Data Transformation
Data Warehousing
Relational Databases
Middleware
Machine Learning
NoSQL
Scrum
Power BI
Salesforce
Tableau
Enterprise Application Integration
Google Cloud Platform
Caching
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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