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.
We offer flexibility in your schedule, empowering you to balance life’s demands, while also maintaining your ability to serve clients.
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
design and maintain data platforms
build and optimize data ingestion pipelines
develop data lakes and warehouses
ensure data quality and governance
optimize platform performance and scalability
implement data security and access controls
automate workflows using IaC and CI/CD
Nice-to-have
supporting AI/ML workloads
real-time or streaming architectures
cloud or data platform certifications
inclusive culture and talent experience
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