
Data Architecture Professional
7 days ago
We are seeking an experienced Data Architecture Professional to join our team.
- About the Role:
- This is a senior-level position responsible for designing and implementing data architectures on the Amazon Web Services (AWS) platform.
- The ideal candidate will have extensive experience with AWS-native services such as Glue, Redshift, Athena, EMR, S3, Lambda, Kinesis, DynamoDB, and RDS.
- You will work closely with data engineers, analysts, business stakeholders, and DevOps teams to ensure data solutions align with business needs.
- Evaluate and recommend new tools and technologies in the AWS ecosystem to improve data infrastructure.
- Define and implement data governance, security, access controls, and data lifecycle management in AWS.
- Create documentation, architecture diagrams, and data flow diagrams to support ongoing development and operations.
- Key Responsibilities:
- Design end-to-end data architectures using best practices for scalability, performance, and cost optimization.
- Architect and implement data lakes, data warehouses, and ETL/ELT pipelines following industry standards.
- Collaborate with cross-functional teams to ensure data-driven decisions are made.
- Develop and maintain data architecture roadmaps and strategic plans.
- Requirements:
- Bachelor's degree in Computer Science or related field.
- Minimum 5 years of experience in data architecture with a focus on AWS.
- Expert-level knowledge of AWS services including Glue, Redshift, Athena, EMR, S3, Lambda, Kinesis, DynamoDB, and RDS.
- Familiarity with data governance, security, access controls, and data lifecycle management.
- Strong communication and collaboration skills.
- Able to travel up to 20% of the time.
About Our Team:
We are a team of innovative professionals dedicated to delivering cutting-edge solutions that drive business growth.
Our team is passionate about working collaboratively to achieve exceptional results.
We offer a dynamic and supportive work environment with opportunities for growth and development.
Join us in shaping the future of data architecture and innovation
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