Senior Data Tech Lead/Architect jobs in United States
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qode.world ยท 11 hours ago

Senior Data Tech Lead/Architect

qode.world is seeking a Senior Data Tech Lead/Architect with strong expertise in AWS-based streaming data pipelines and related technologies. The role involves designing and implementing scalable data ingestion, validation, and processing frameworks for a high-impact data platform serving financial applications.

Artificial Intelligence (AI)Human ResourcesInformation Technology

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

Qualification

AWS-based streaming data pipelinesApache Kafka (MSK)AWS Glue (PySpark)Real-time data pipelinesData qualityReconciliation workflowsInfrastructure-as-code (CDK/Terraform)Cloud-based environmentsEvent-driven architecturesMicroservices-based data APIsData lake conceptFinancial data domain

Required

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

Company

qode.world

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SaaS, AI Agent in Recruitment, HR Tech

Funding

Current Stage
Growth Stage
Company data provided by crunchbase