Cloud Data Architect

1 week ago


Anywhere in IndiaMultiple Locations Risk Resources LLP Full time

Company Overview

Risk Resources LLP is a dynamic and innovative company that specializes in providing cutting-edge data solutions to our clients.

Salary

We are offering a competitive salary of $140,000 - $160,000 per year, depending on experience.

Job Description

The Cloud Data Architect will play a crucial role in designing, developing, and maintaining scalable data solutions using Snowflake, Azure, and AWS technologies. The ideal candidate will have expertise in designing and implementing data pipelines, optimizing query performance, and ensuring data security and access control.

Key Responsibilities:

  • Design and develop data pipelines using Snowflake, Azure Data Lake Storage, Azure Data Factory, and Azure Synapse Analytics.
  • Implement, maintain, and optimize data infrastructure on AWS, including Redshift, EMR, and Glue.
  • Collaborate with data scientists and analysts to understand data requirements and implement the necessary data transformations and integrations.
  • Ensure data quality and reliability by designing and implementing data cleansing and validation processes.
  • Develop and maintain ETL processes using Informatica and DataStage to extract, transform, and load data from various sources.
  • Optimize query performance and data distribution on Snowflake to ensure efficient data access and processing.
  • Implement best practices for data security, encryption, and access control on Azure and AWS platforms.
  • Participate in the evaluation and selection of new data management and analytics technologies to meet evolving business needs.
  • Document data architecture, data flows, and data processes to facilitate knowledge sharing and collaboration.
  • Provide technical guidance and support to junior data engineering team members.

Required Skills and Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Proven experience in designing and implementing data solutions on Snowflake, Azure, and AWS platforms.
  • Expertise in using Azure Data Lake Storage, Azure Data Factory, and Azure Synapse Analytics for data management and analytics.
  • Demonstrated proficiency in working with AWS Redshift, EMR, and Glue for data warehousing and ETL processes.
  • Strong understanding of data integration and transformation using Informatica and DataStage.
  • In-depth knowledge of SQL and programming languages such as Python or Java for data manipulation and automation.
  • Experience in optimizing Snowflake data warehouse performance and scalability.
  • Familiarity with data modeling, schema design, and data governance best practices.
  • Ability to collaborate effectively with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
  • Strong problem-solving skills and the ability to troubleshoot and optimize complex data pipelines.
  • Experience with version control systems and continuous integration/continuous deployment (CI/CD) processes for data engineering projects.
  • Certifications in relevant cloud platforms (e.g., Microsoft Azure, Amazon Web Services) and data engineering tools.
  • Excellent written and verbal communication skills.
  • Ability to adapt to new technologies and learn continuously in a fast-paced, dynamic environment.

Benefits

We offer a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and paid time off.



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