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Job Requirements of Data Architect - Remote / Telecommute:
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Employment Type:
Full-Time
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Location:
Philadelphia, PA (Remote)
Do you meet the requirements for this job?
Data Architect - Remote / Telecommute
Pay Range: $65hr - $70hr
Responsibilities:
- Data Architecture Design: Design and develop scalable, high-performance data architecture solutions using PySpark, ADF, and Power BI to support business intelligence, analytics, and reporting needs
- Data Pipeline Development: Build and manage robust data pipelines using PySpark and Azure Data Factory, ensuring efficient data extraction, transformation, and loading (ETL) processes across various data sources
- Data Modeling: Develop and maintain data models that optimize query performance and support the needs of analytics and reporting teams
- Integration and Automation: Design and implement integration strategies to automate data flows between systems and ensure data consistency and accuracy
- Collaboration: Work closely with data engineers, data analysts, business intelligence teams, and other stakeholders to understand data requirements and deliver effective solutions
- Data Governance and Security: Ensure data solutions adhere to best practices in data governance, security, and compliance, including data privacy regulations and policies
- Performance Optimization: Continuously monitor and optimize data processes and architectures for performance, scalability, and cost-efficiency
- Reporting Visualization: Utilize Power BI to design and develop interactive dashboards and reports that provide actionable insights for business stakeholders
- Documentation: Create comprehensive documentation for data architecture, data flows, ETL processes, and reporting solutions
- Troubleshooting Support: Provide technical support and troubleshooting for data-related issues, ensuring timely resolution and minimal impact on business operations
- Bachelor s degree in Computer Science, Information Technology, Data Science, or a related field
- Minimum of 15+ years of experience in data architecture and engineering, with a focus on PySpark, ADF, and Power BI
- Proven experience in designing and implementing data pipelines, ETL processes, and data integration solutions
- Strong experience in data modeling and data warehouse design
- Proficiency in PySpark for big data processing and transformation
- Extensive experience with Azure Data Factory (ADF) for data orchestration and ETL workflows
- Strong expertise in Power BI for data visualization, dashboard creation, and reporting
- Knowledge of Azure services (e.g., Azure Data Lake, Azure Synapse) and other relevant cloud-based data technologies
- Strong SQL skills and experience with relational databases
Soft Skills: Excellent problem-solving and analytical skills
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
- bility to manage multiple priorities in a fast-paced environment
- Microsoft certifications related to Azure, Power BI, or data engineering are a plus
Experience in a similar role within a large enterprise environment is preferred
Recommended Skills
- Analytical
- Automation
- Big Data
- Business Intelligence
- Communication
- Data Analysis
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Job ID: 4dcce114a106bc62f4c3e7922
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