Lead Enterprise Data Architecture
Role details
Job location
Tech stack
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