Cloud Data Solutions Architect
3 days ago
Unreal Gigs
We are seeking a highly skilled Cloud Data Solutions Architect to join our team.
About the Role
This is an exciting opportunity for a seasoned data professional to design, develop, and implement scalable cloud-based data solutions that drive business growth.
Key Responsibilities
- Design and Build Data Pipelines: Create and manage complex data pipelines that support ETL processes, ensuring seamless data flow and efficient data processing.
- Develop and Maintain Data Architectures: Design and maintain cloud-based data storage solutions, such as data lakes and warehouses, aligning with business needs and best practices.
- Collaborate on Data Strategy and Solutions: Work closely with data scientists, business analysts, and application developers to understand data requirements and implement solutions that support analytics and machine learning models.
- Ensure Data Security and Compliance: Implement and monitor security measures that protect data privacy and comply with industry standards, managing data access controls and audit logs.
- Optimize Data Processing Workflows: Improve the performance of data processing workflows by optimizing resource allocation and parallel processing techniques, reducing latency and enhancing scalability.
- Automate and Streamline Data Operations: Develop automation scripts and tools using languages such as Python or Java to streamline data processes and reduce manual intervention.
- Monitor and Troubleshoot Data Pipelines: Use monitoring tools and techniques to ensure the health and performance of data pipelines, identifying and troubleshooting issues promptly.
Requirements
- Cloud Data Expertise: Strong experience with cloud data platforms (AWS, GCP, Azure) and data processing tools like Apache Spark, Apache Beam, or AWS Glue.
- Programming and Scripting: Proficiency in Python, Java, or Scala for data manipulation and pipeline automation.
- ETL and Data Pipeline Management: Experience in developing and managing complex ETL workflows that handle large data volumes.
- Data Security and Compliance Knowledge: Familiarity with implementing data security measures and ensuring compliance with industry standards.
- Collaboration and Problem-Solving: Strong ability to work with cross-functional teams and troubleshoot data-related issues.
Salary
$120,000 - $150,000 per year, depending on experience.
Benefits
- Health and Wellness: Comprehensive medical, dental, and vision insurance plans.
- Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year.
- Work-Life Balance: Flexible work schedules and telecommuting options.
- Professional Development: Opportunities for training, certification reimbursement, and career advancement programs.
- Wellness Programs: Access to wellness programs, including gym memberships, health screenings, and mental health resources.
- Life and Disability Insurance: Life insurance and short-term/long-term disability coverage.
- Employee Assistance Program (EAP): Confidential counseling and support services.
- Tuition Reimbursement: Financial assistance for continuing education and professional development.
- Community Engagement: Opportunities to participate in community service and volunteer activities.
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