The Senior Data Platform Engineer designs and maintains scalable, secure, and high-performance data platforms supporting the NAS AI Ecosystem
Job Summary
The Senior Data Platform Engineer designs and maintains scalable, secure, and high-performance data platforms supporting the NAS AI Ecosystem.
The role enables enterprise data ingestion, processing, storage, governance, and analytics to support AI/ML workloads and advanced analytics initiatives.
At RSM, we offer a competitive benefits and compensation package for all our people.
Matching Summary
The Senior Data Platform Engineer designs and maintains scalable, secure, and high-performance data platforms supporting the NAS AI Ecosystem.
Skills & Requirements
Must-have
Data ingestion pipelines
Data lakes and warehouses
Data quality and governance
Platform performance optimization
AI/ML feature stores
Data security and access controls
Infrastructure-as-Code automation
Nice-to-have
Supporting AI/ML platforms
Real-time streaming architectures
Data governance and metadata tools
Key Requirements
Strong experience in data engineering
Proficiency in SQL and Python or Scala
Experience with Snowflake, Databricks, BigQuery, Redshift, or Synapse
Experience with Airflow, Azure Data Factory, Kafka, Spark, or Fivetran
Strong knowledge of ETL/ELT
Experience with Azure, AWS, or GCP
Familiarity with Terraform, ARM, CloudFormation, and Git