Data Architect
SmartIMS Inc.
Wilmington, DE, United States
13 days ago
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Role details
Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$124,800.0 - $176,800.0
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Geographic Information Systems
Airflow
Microsoft Azure
Cloud Database
Cloud Engineering
Cyber Security
Data Architecture
Information Engineering
Data Governance
Data Infrastructure
Data Integration
+15 more
Extract Transform Load (ETL)
Data Security
Digital Architecture
Python (Programming Language)
SQL Databases
Privacy Controls
Data Processing
Data Storage Technologies
Information Technology
Data Management
Video Streaming
Stream Processing
Data Pipelines
Docker
Programming Languages
Job description
As a Data Architect, you will support the design, development, and management of enterprise data infrastructure and data platforms. You will help build scalable data pipelines, ensure data security and compliance, automate workflows, and enable reliable real-time access to critical business data., * Design and maintain enterprise data architecture and infrastructure solutions.
- Develop and support data pipelines, ETL processes, and data integration frameworks.
- Implement cloud-based data solutions and modernization initiatives.
- Automate workflows to improve data accessibility and operational efficiency.
- Ensure data security, governance, compliance, and privacy standards are maintained.
- Optimize data storage, processing, and retrieval performance.
- Support real-time and batch data processing capabilities.
- Collaborate with technical and business teams to define data requirements.
- Troubleshoot and resolve data platform and infrastructure issues.
- Document architecture, processes, standards, and technical solutions.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field; Master’s degree preferred.
- 3 5 years of experience in Data Engineering, Data Architecture, or Cloud Engineering.
- Strong proficiency in SQL and at least one programming language such as Python, Java, or Scala.
- Experience with Azure or other major cloud platforms.
- Experience designing and supporting data pipelines, ETL processes, and data platforms.
- Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
- Strong understanding of cybersecurity, data governance, compliance, and data protection principles.
- Experience with real-time data processing, workflow automation, and scalable architectures.
- Strong analytical, troubleshooting, and problem-solving skills.
- Experience in government, public safety, legal data environments, GIS data, streaming technologies, Airflow, or cloud/data engineering certifications preferred.
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