Job Information
Insight Global Sr. AWS Cloud Solution Architect in Edison, New Jersey
Job Description
We are seeking a highly experienced and skilled AWS Cloud Solution Architect with a strong background in data engineering and analytics to join our growing team. You will play a pivotal role in designing, developing, and implementing scalable and secure cloud-based solutions for data ingestion, transformation, storage, analysis, and visualization. You will leverage your expertise in AWS services and data engineering principles to build robust data pipelines and architectures that support our organization's data-driven initiatives.
Responsibilities:
Collaborate with business stakeholders and data scientists to understand data requirements and translate them into technical solutions.
Design and architect secure, scalable, and cost-effective data pipelines on AWS utilizing services like S3, Redshift, Glue, EMR, Kinesis, and Lambda.
Develop and implement data transformation and processing workflows using tools like Microservices, NodeJS, or AWS Glue.
Select and configure appropriate AWS storage solutions for various data types (structured, semi-structured, unstructured).
Implement best practices for data security, governance, and compliance throughout the data lifecycle.
Develop and maintain documentation for designed architectures and data pipelines.
Automate infrastructure provisioning and configuration management using infrastructure as code (IaC) tools like Terraform or CloudFormation.
Monitor and optimize the performance and cost efficiency of data pipelines.
Stay up to date with the latest trends and innovations in cloud technologies, data engineering tools, and data analytics frameworks.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .
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Skills and Requirements
12+ years of experience in data engineering, data architecture, or a related field.
Proven experience in designing and implementing scalable and secure data pipelines on AWS.
In-depth knowledge of data engineering principles, data modeling techniques, and data storage solutions.
Expertise in at least one scripting language like Python or Java and experience with data processing frameworks (Spark, PySpark).
Experience with AWS services for data management and analytics (S3, Redshift, Glue, EMR, Kinesis, Lambda).
Strong understanding of data security and governance best practices.
Ability to work independently and as part of a cross-functional team. null
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.