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Senior Data Tech Lead/Architect

23 hours ago

New York, New York, United States Qode Full time

Hi,

We are looking for Data TechLead/Architect in Dallas/NJ please have a look on below mentioned skill set and let me know your interest on this.

Job Title: Senior Data Tech Lead/Architect – AWS

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

Duration: Full time with Incedo

About the Role:

We are seeking a Senior Technical Lead /Architect with strong expertise in AWS-based streaming data pipelines, Apache Kafka (MSK), AWS Glue, 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

Key Responsibilities:

  • 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)

Preferred:

  • Familiarity with PostgreSQL, Athena, Step Functions, and Lambda
  • Knowledge of event-driven architectures and microservices-based data APIs (This should be the required skills)
  • Familiar with data lake concept
  • Familiar with Financial or Financial Wealth management data domain