Location: Dallas, Texas (Preferred) Or Florham Park, New Jersey , NJ

Full time

We are seeking a Senior Technical Lead /Architect with strong expertise in AWS-based streaming data pipelines, Apache Kafka (MSK), AWS Glue, Flink and PySpark, to help solution, design and implement a scalable data ingestion, data validation, data enrichment and reconciliation processing, and event logs, data observability, operational KPI tracking framework.

You will play a key role in solutioning and building out the , event driven capabilities with control gates in place to measure, track, and improve the operational SLAs and drive the data quality and reconciliation workflows for a high-impact data platform serving financial applications

 Provide technical solution discovery effort on any new capabilities or new functionality.

 Assist PO with technical user stories to ensure healthy backlog features

 Lead the development of real-time data pipelines using AWS DMS, MSK, Kafka or Glue Streaming and for CDC ingestion from multiple SQL Server sources (RDS/on-prem).

 Build and optimize streaming and batch data pipelines using AWS Glue (PySpark) to validate, transform, and normalize data to Iceberg and DynamoDB.

 Define and enforce data quality, lineage, and reconciliation logic with support for both streaming and batch use cases.

 Integrate with S3 Bronze/Silver layers and implement efficient schema evolution and partitioning strategies using Iceberg.

 Collaborate with architects, analysts, and downstream application teams to design API and file-based egress layers.

 Implement monitoring, logging, and event-based alerting using CloudWatch, SNS, and EventBridge.

 Mentor junior developers and enforce best practices for modular, secure, and scalable data pipeline development.

Required Skills:

 6+ years of hands-on expert level data engineering experience in cloud-based environments (AWS preferred) with event driven implementation

 Strong experience with Apache Kafka / AWS MSK including topic design, partitioning, and Kafka Connect/Debezium

 Proficiency in AWS Glue (PySpark) and for both batch and streaming ETL

 Working knowledge of AWS DMS, S3, Lake Formation, DynamoDB, and Iceberg

 Solid grasp of schema evolution, CDC patterns, and data reconciliation frameworks

 Experience with infrastructure-as-code (CDK/Terraform) and DevOps practices (CI/CD,Git