Senior AWS Architect

Senior AWS Architect

Location - NY/NJ

Required skill AWS/Testing /S3, Redshift, Glue, Athena, EMR, DynamoDB

Responsibilities :

• Design and implement scalable data architectures using AWS services (S3, Redshift, Glue, Athena, EMR, DynamoDB).
• Build, optimize, and maintain ETL/ELT pipelines for structured and unstructured data.
• Develop real time and batch ingestion pipelines using AWS Glue, Lambda, Kinesis, or Kafka
• Utilize Spark (AWS EMR/Glue), Python, or Scala to build transformation workflows.
• Implement data quality checks, validation rules, and automated error handling mechanisms.
• Ensure data is optimized for analytics, BI, and ML use cases.
• Build and maintain data lakes on Amazon S3 and data warehouses on Redshift/Snowflake.
• Create and optimize database schemas, partitioning, compression, and performance tuning.
• Manage metadata, cataloging, and data lineage via AWS Glue Data Catalog or similar tools.
• Lead end to end testing strategy, covering functional, integration, regression, performance, and UAT cycles.
• Build and manage a testing team, including test engineers, automation engineers, and QA analysts.
• Develop test plans, test cases, and automation frameworks for data pipelines, ETL processes, APIs, and cloud platforms.
• Ensure data validation, reconciliation, and quality assurance across ingestion, transformation, and consumption layers.
• Implement automated testing solutions using tools such as PyTest, Selenium, JMeter, Postman, Robot Framework, or AWS-native testing utilities.
• Establish quality gates within CI/CD pipelines to ensure reliable deployments.
• Collaborate closely with Product Owners, Data Engineering teams, and Business SMEs to ensure high-quality delivery.
• Drive continuous improvement in test processes, automation coverage, and defect reduction.
• Provide regular QA metrics, defect summaries, and quality dashboards to leadership and stakeholders.
• Design and implement scalable data architectures using AWS services (S3, Redshift, Glue, Athena, EMR, DynamoDB).
• Build, optimize, and maintain ETL/ELT pipelines for structured and unstructured data.
• Develop real time and batch ingestion pipelines using AWS Glue, Lambda, Kinesis, or Kafka
• Utilize Spark (AWS EMR/Glue), Python, or Scala to build transformation workflows.
• Implement data quality checks, validation rules, and automated error handling mechanisms.
• Ensure data is optimized for analytics, BI, and ML use cases.
• Build and maintain data lakes on Amazon S3 and data warehouses on Redshift/Snowflake.
• Create and optimize database schemas, partitioning, compression, and performance tuning.
• Manage metadata, cataloging, and data lineage via AWS Glue Data Catalog or similar tools.

The base compensation range for this role in the posted location is: 150000 to 200000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)

Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)

Life and disability insuran…