Senior AWS Data Engineer/Architect.

Role: Senior AWS Data Engineer/Architect.

Location: Piscatway, NJ (Day 1 onsite Hybrid)

Position type: W2 contract

About The Role

You will design and build scalable data pipelines on AWS, integrating multiple data sources (telephony, CRM, LLM outputs) into a unified analytics platform serving business analysts and operational reporting teams.

Job Description

• Architect and implement cloud-native data pipelines on AWS
• Build serverless compute layers using Lambda, Step Functions, and Airflow
• Design data lake storage strategies using S3, Glue, Athena, and Redshift
• Integrate real-time data streams via Kinesis and SQS
• Collaborate with business analysts to translate reporting requirements into schema and pipeline design
• Own data quality, pipeline monitoring, and alerting via CloudWatch
• Lead schema design for Athena and Postgres tables DDL, partitioning, indexing
• Evaluate and integrate AI/ML services Bedrock, Comprehend, Transcribe
• Document architecture decisions and maintain runbooks

Must Have

• overall 10 to 15+ with 6+ years AWS data engineering experience
• Expert Python data transformation, boto3, async processing
• Deep knowledge of: S3, Lambda, SQS, Kinesis, Step Functions, EventBridge, DynamoDB, Glue, Athena, Redshift, Airflow
• Airflow production DAG development and debugging
• SQL complex queries, window functions, partitioning, performance tuning
• IAM roles, policies, cross-account access, permissions boundaries
• Experience designing event-driven, serverless architectures at scale
• Strong understanding of data lake patterns partitioning, file formats, crawlers

Nice to Have

• Amazon Connect / telephony platform experience
• LLM integration prompt engineering, Bedrock, API gateway patterns
• Amazon Transcribe / Call Analytics
• Terraform / CloudFormation
• QuickSight dashboarding
• Multi-account AWS organisation management