Specialist - Architecture

Mandatory SkillsGCP BigQuery Kafka Dataflow Apache Spark Data Spark Vertex AI Cloud StorageAdobe Analytics Python Java NodejsExperienceSenior Data Engineer Platform ML Analytics 79 years in data engineering or ML data engineeringData Engineer II ML Training MultiSource Integration 57 years in data or ML data engineeringJob DescriptionRequired Qualifications79 years of handson data engineering or ML data engineering experience in a production GCP environmentStrong proficiency in Python Java or Nodejs for pipeline development feature engineering scripts and automationStrong handson experience with BigQuery partitioning clustering cost management complex SQL MLoptimizedtable designProficiency with Apache Kafka for realtime streaming ingestionExperience with Dataflow Apache Beam for both streaming and batch pipelinesProficiency with Apache Spark PySpark or Scala DataSpark experience a strong plusSolid familiarity with GCP ecosystem Cloud Storage PubSub Dataproc Cloud ComposerAirflowExperience building ML training pipelines and Feature Stores GCP Feature Store preferred understanding of the MLlifecycle including feature engineering data versioning and traineval splitsExperience with Vertex AI Pipelines or similar MLOps toolingDemonstrated experience designing disaster recovery zones and failover strategies for cloud data platformscrossregion replication RTORPO definition and DR testingExperience with data archival design BigQuery table lifecycle management Cloud Storage tiered storage policies andlongterm retention for regulated datasetsHandson experience handling PHI under HIPAA fieldlevel encryption and masking deidentification techniques auditlogging access control policies and HIPAA Security Rule compliance for data at rest and in transitStrong SQL and data modeling skills experience with layered data lake or lakehouse architectureNice to HaveExperience integrating Adobe Analytics data streams or Adobe Experience PlatformFamiliarity with Looker or Vertex AI as downstream consumersKnowledge of ClickThru file formats and external table patterns in BigQueryExperience with GCP CMEK CustomerManaged Encryption Keys for PHI dataset protectionFamiliarity with HIPAA BAA requirements in cloud vendor agreementsCVS Digital AI Insight NBA Engine Data Layer Job DescriptionsFor Recruitment Use Only Not for Distribution Page 4Familiarity with NIST or HITRUST frameworks as applied to ML data pipelinesBackground in healthcare data Rx clinical or benefits domain