Cloud Data Solution Architect
5 months ago
Overview:
As a Cloud Data Solution Architect, you will be responsible for designing, architecting, and implementing cloud-based data solutions that meet our business requirements and support our data analytics and decision-making initiatives. You will work closely with cross-functional teams, including data engineering, data science, and business units, to understand requirements, assess technical feasibility, and develop robust data architectures in the cloud.
**Responsibilities**:
- Lead the design and architecture of cloud-based data solutions, including data lakes, data warehouses, and analytics platforms, leveraging cloud-native technologies and services.
- Collaborate with stakeholders to gather and analyze business requirements and translate them into technical solutions that align with our cloud data strategy and architecture principles.
- Design and implement scalable and cost-effective data architectures in the cloud, optimizing data storage, processing, and analytics capabilities for performance, reliability, and cost efficiency.
- Evaluate and recommend cloud technologies, tools, and services to support data ingestion, storage, processing, and analytics requirements, ensuring alignment with industry best practices and standards.
- Develop and maintain data governance policies, standards, and best practices to ensure data quality, security, and compliance in the cloud.
- Provide technical leadership and guidance to data engineering and analytics teams on cloud data architecture, best practices, and emerging trends in cloud computing and data management.
- Drive innovation and continuous improvement in cloud data solutions by staying updated with the latest technologies, methodologies, and best practices in cloud computing and data engineering.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
- ** 8 years of experience** as a Data Engineer, Data Architect, or Solution Architect, with a focus on designing and implementing cloud-based data solutions.
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, including services such as Amazon S3, Azure Blob Storage, Google Cloud Storage, etc.
- Strong proficiency in data modeling, ETL/ELT processes, and data integration techniques in a cloud environment.
- ** Experience with distributed computing frameworks such as Hadoop, Spark, or Flink is a plus.**:
- ** Excellent analytical, problem-solving, and communication skills, with the ability to effectively collaborate with cross-functional teams and stakeholders**.
- Certifications in cloud technologies (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert) are highly desirable.
**Experience**:
- **8 years of experience** as a Data Engineer, Data Architect, or Solution Architect, with a focus on designing and implementing cloud-based data solutions
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