Data Architect

• Posted 4 hours ago • Updated 4 hours ago

Full Time

Fitment

Dice Job Match Score™

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Job Details

Skills

Thought Leadership
Privacy
Data Quality
Data Governance
Logistics
Data Science
API
Software Architecture
Roadmaps
Real-time
Streaming
Technical Drafting
Test Scripts
Oracle Linux
Computer Science
Information Technology
Data Management
Cloud Computing
Extract
Transform
Load
Business Intelligence
Data Warehouse
Microsoft Azure
Amazon Web Services
Data Integration
Visualization
Decision-making
Microsoft Power BI
Data Analysis
Leadership
Cross-functional Team
Analytics
Communication

Thought Leadership
Privacy
Data Quality
Data Governance
Logistics
Data Science
API
Software Architecture
Roadmaps
Real-time
Streaming
Technical Drafting
Test Scripts
Oracle Linux
Computer Science
Information Technology
Data Management
Cloud Computing
Extract
Transform
Load
Business Intelligence
Data Warehouse
Microsoft Azure
Amazon Web Services
Data Integration
Visualization
Decision-making
Microsoft Power BI
Data Analysis
Leadership
Cross-functional Team
Analytics
Communication

Summary

As a trusted technical advisor, you will provide thought leadership and design a modern data platform architecture that supports data ingestion/integration, data privacy, data quality and data governance for our clients in the logistics industry. You will be responsible for development of an enterprise data strategy and possess a strong technical acumen and working knowledge of methodologies, processes and best practices on cloud data architectures, data science platforms, event-driven architectures, and API-enabled data services.

Responsibilities:

Review current environment for existing data challenges, on-prem data infrastructure and flow, and application architecture.
Lead the development of an enterprise data strategy; and design and implement cloud data architectures.
Assist with tool and technology selection that meets the requirement
Define the implementation roadmap and support with any infrastructure planning
Design and develop an ingestion framework that supports real-time streaming and/or batch.
Develop technical design documents, validate test scripts and cases, coordinate the implementation of the same into production and related support activities

Requirements

Deep technical passion for all things data
Bachelor's degree in Computer Science, Information Technology or relevant work experience.
Minimum 10-12 years of relevant hands-on experience in Enterprise Data Management and cloud technologies
Strong working knowledge of ETL, BI and Data warehousing tools and technologies
Strong experience with data systems and infrastructure on Azure and/or AWS
Solid knowledge and implementation experience with data Integration techniques
Good understanding of Stream Processing architecture
Familiarity leveraging visualization tools to present information in a way that drives fact-based decision making (such as Power BI)
Perform data analysis to support strategic initiatives and clearly communicate and present insights to leadership.
Coordinate with cross-functional team for requirements, improvements and enhancements that support various data and analytics needs
Unafraid to try new technologies, arbitrate complex technical discussions, and make challenging decisions.
Great written and verbal communication skills, including ability to present ideas to both technical and business audiences.
A self-starter who can thrive in ambiguity and builds trusted relationships. Has a "can do" attitude and entrepreneurial resourcefulness in getting things done in a fast-paced environment.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80183517
Position Id: 5205bb4fd72f716c0f030a88957f8ede
Posted 4 hours ago

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