AI/ML Data Platform Engineer

10+ years of experience in data engineering, ML engineering, or data platform development, including 2+ years designing or operating production data products or data services.

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; master's degree preferred.

Expert-level SQL and strong Python programming skills.

Experience with AWS, Azure, or Google Cloud Platform data platforms, including Amazon Redshift, AWS Glue, Azure Synapse, Azure Data Factory, BigQuery, Dataflow, Databricks, or Snowflake.

Production experience with Apache Kafka, Amazon Kinesis, Apache Flink, or Spark Structured Streaming.

Strong understanding of data modeling and architecture patterns, including data vault, lakehouse, and data mesh.

Experience with data quality frameworks, data catalogs, data lineage, API design, data contracts, and event-driven architectures.

Experience integrating ML models into data pipelines or developing AI-powered data services.

Experience with data access controls, attribute-level masking, audit logging, and governance.

Strong architectural leadership, technical documentation, mentoring, and cross-team collaboration skills.