Senior Data Tech Lead/Architect

Qode • Texas, TX

19h

About The Position

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

Requirements

• 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)
• Familiarity with PostgreSQL , Athena , Step Functions , and Lambda
• Knowledge of event-driven architectures and microservices-based data APIs

Nice To Haves

• Familiar with data lake concept
• Familiar with Financial or Financial Wealth management data domain

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed