Senior AWS Data Platform Engineer

N-iX; Georgia; Hybrid; USD 120,000 - 180,000; Full time

Job summary

N-iX is seeking a Senior DataOps Engineer to accelerate Data & AI initiatives on a secure, hybrid AWS platform. You will design and operate a data foundation, build scalable pipelines, and enforce governance across the data estate.

The role emphasizes tokenization, real-time streaming, and a medallion lakehouse approach within a cross-functional team. Ideal candidates have 4+ years in Data Engineering/DataOps, strong AWS analytics skills, and hands-on experience with Iceberg, Spark, and Kafka.

Qualifications

• 4+ years of hands-on experience as a Data Engineer or DataOps Engineer building enterprise-grade data platforms and pipelines.
• Strong expertise with AWS Data Analytics stack: S3, Glue Data Catalog, Lake Formation, EMR, Athena, DataSync, MSK.
• Deep experience with Iceberg table format, cataloging, compaction, and schema evolution.
• Proficiency in Spark/PySpark for batch, micro-batch, and real-time processing.
• Experience with Medallion Lakehouse Architecture (Bronze/Silver/Gold).
• Tokenization and encryption at scale (e.g., Protegrity, Thales, FPE, or Spark UDF).
• Event-driven architectures & streaming: Kafka/MSK, Kafka Connect, Schema Registry, MirrorMaker2.

Responsibilities

• Design, implement, and maintain the AWS Data Platform foundation (S3 lake, Iceberg, Glue Catalog).
• Build and optimize scalable batch and streaming data pipelines using EMR Serverless, Spark/PySpark, Flink, and Athena.
• Implement data tokenization/de-identification pipelines prior to cloud transit.
• Manage real-time streaming architectures with MSK, Replicator, and Schema Registry.
• Apply Medallion Architecture for lakehouse data modeling and automate Iceberg registration.
• Coordinate data migration waves with DataSync and streaming configs.
• Configure data access control and governance with Lake Formation, Macie, and Informatica Axon/EDC.
• Develop CI/CD for data pipelines, schema-drift detection, and data contracts.
• Implement DataOps observability with CloudWatch and FinOps cost monitoring.
• Create runbooks, DR procedures, and cutover/rollback playbooks for platform hardening.

Skills

AWS Data Analytics

Apache Spark

Data Lakehouse

Kafka/MSK

Data Governance

Terraform/CDK

ETL Pipelines

Tokenization

Security & Compliance

PySpark

Schema Registry

GitLab CI/CD

Iceberg

Azure Data Services

Tools

Apache Iceberg

Apache Flink

AWS Glue Data Catalog

AWS Lake Formation

Amazon EMR Serverless

Amazon MSK

DataSync

Protegrity

Kafka Connect

Schema Registry

Terraform

AWS CDK

GitLab CI/CD

Job description

N-iX is seeking a Senior DataOps Engineer to accelerate Data & AI initiatives on a secure, hybrid AWS platform. You will design and operate a data foundation, build scalable pipelines, and enforce governance across the data estate.

The role emphasizes tokenization, real-time streaming, and a medallion lakehouse approach within a cross-functional team. Ideal candidates have 4+ years in Data Engineering/DataOps, strong AWS analytics skills, and hands-on experience with Iceberg, Spark, and Kafka.