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Job Location: Charlotte, NC
Job Detail:
JOB INFORMATION
Job Title: Data Architect
Location: Charlotte, NC
Role: Long Term Contract
Job Summary
Data architecture design and implementation
Azure cloud expertise (preferred) OR AWS/GCP. SQL. Data bricks. Data lake . Service Bus . Python(preferred) OR any OOP language
DevOps pipeline creation and operations.
Automation testing on data pipelines
Required Skills
Azure Data Factory,Azure Data Lake,Azure Databricks
Bachelors degree in Computer Science, Information Systems, similar technical field of study or equivalent practical experience
5+ years of strong data engineering experience
2+ years of Cloud Data Engineering experience.
Experience working with cloud technologies such as Azure (Preferred), AWS or GCP Hands on experience with SQL and Python or other object-oriented programming language Solid understanding of real-time & batch data processing, data pipelines, transformation and modeling using traditional and distributed systems Experience with developing and architecting data ingestion models, ETL jobs, and alerting to maintain high availability and data integrity Strong knowledge of DevOps pipeline
Nice to have skills: Python,MS Power BI,Azure Stream Analytics,Azure Storage,Azure Cloud Native Security,Azure Cloud Discovery,AWS Services
Roles & Responsibilities
The Work: Be the subject matter expert for data, pipeline design, architecture, and other data engineering technologies for the team Owns the technical vision and development of a domain or capability Acts as strong advocate for a culture of quality and pushing the boundaries of platform.
Leads team to utilize new frameworks/technologies to improve an existing process or service.
Brings fresh perspective based on research and latest industry standards.
Help to define the technical direction of the team and drive the actual architecture/design/implementations to enhance an ever-expanding data platform, that supports business process needs for internal and external integration via APIs, data models, self-serve reporting solutions, and interactive querying High-level and low-level design of real time and batch system interfaces and data enrichment pipelines in a cloud-native data ecosystem.
Promoting and enforcing design and development standards and best practices Lead development initiatives and team from technical perspective by mentoring team members and contributing towards code base Work with the latest and greatest technologies in the Microsoft cloud stack including Azure SQL, Synapse, Data Lake, Data Factory, Databricks, Azure function, Service Bus, etc
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