My name is Omkar Nath Sharma and I represent Synchrony Systems Inc. We are currently supporting an implementation partner on a full-time opportunity. Based on your background your experience may align well with this role.
Position Details:
Role:
Data Architect
Locations:
Atlanta GA
Employment Type:
Full-Time (W2 only)
Work Model:
Onsite (5 Days a Week)
Compensation: Base salary range of
$140000 $180000 per year plus benefits
Experience Range
Min 12 Years and Max 25 Years
Work Authorization
Who can work on a full-time W2 basis without sponsorship
Note:
This role is not open for C2C/C2H/1099 or any contract arrangements
This opportunity is available for candidates who can work on a full-time W2 basis without sponsorship.
Job Description
Must Have Technical/Functional Skills:
We are seeking a Data Architect
Need to have hands-on experience in Cloud Modernization/Transformation program involving AWS Databricks.
Strong experience in large-scale cloud data modernization programs
Strong experience in Data Architecture
Experience in AWS (S3 Glue Lambda Step Functions Athena)
Strong experience in Databricks (Delta Lake Unity Catalog)
Strong experience in Data modeling (Datawarehouse Lakehouse)
Experience in Integration architecture & governance frameworks
Roles & Responsibilities:
Define target data architecture (Lakehouse/Data Platform) including ingestion processing storage and consumption layers
Design scalable fault-tolerant and high-performance solutions on AWS
Establish data integration patterns and architecture standards
Drive data governance data federation security and compliance frameworks
Lead POCs and architectural validations for critical requirements
Collaborate with business stakeholders to translate requirements into solution design
Guide engineering teams on best practices and platform optimization
Ensure architecture meets: High throughput and low latency requirements Horizontal scalability Fault tolerance and resiliency
Experience in AWS services like Lambda SQS Event Bridge SNS Step function EKS S3 etc.
Identify and mitigate risks related to: Migration complexity Dependency management Performance bottlenecks Data integrity
Define contingency plans for: Rollbacks Failure scenarios. Ensure production readiness across all waves.
Dear Consultant I hope you are doing well. My name is Omkar Nath Sharma and I represent Synchrony Systems Inc. We are currently supporting an implementation partner on a full-time opportunity. Based on your background your experience may align well with this role. Position Details: Role...
Dear Consultant
I hope you are doing well.
My name is Omkar Nath Sharma and I represent Synchrony Systems Inc. We are currently supporting an implementation partner on a full-time opportunity. Based on your background your experience may align well with this role.
Position Details:
Role:
Data Architect
Locations:
Atlanta GA
Employment Type:
Full-Time (W2 only)
Work Model:
Onsite (5 Days a Week)
Compensation: Base salary range of
$140000 $180000 per year plus benefits
Experience Range
Min 12 Years and Max 25 Years
Work Authorization
Who can work on a full-time W2 basis without sponsorship
Note:
This role is not open for C2C/C2H/1099 or any contract arrangements
This opportunity is available for candidates who can work on a full-time W2 basis without sponsorship.
Job Description
Must Have Technical/Functional Skills:
We are seeking a Data Architect
Need to have hands-on experience in Cloud Modernization/Transformation program involving AWS Databricks.
Strong experience in large-scale cloud data modernization programs
Strong experience in Data Architecture
Experience in AWS (S3 Glue Lambda Step Functions Athena)
Strong experience in Databricks (Delta Lake Unity Catalog)
Strong experience in Data modeling (Datawarehouse Lakehouse)
Experience in Integration architecture & governance frameworks
Roles & Responsibilities:
Define target data architecture (Lakehouse/Data Platform) including ingestion processing storage and consumption layers
Design scalable fault-tolerant and high-performance solutions on AWS
Establish data integration patterns and architecture standards
Drive data governance data federation security and compliance frameworks
Lead POCs and architectural validations for critical requirements
Collaborate with business stakeholders to translate requirements into solution design
Guide engineering teams on best practices and platform optimization