Enterprise Data Platform Architect leading architecture for data ingestion, storage, processing, and consumption layers using modern lakehouse technologies (Snowflake, Databricks, etc.), governing data pipelines, and enabling ML/BI consumption. Requires 8+ years data engineering experience and deep expertise in cloud data platforms.
Senior Product Manager owning data platform strategy for healthcare data interoperability, focusing on ingestion, normalization, validation, and delivery across payer/provider ecosystems. Works with engineering, clinical, and compliance teams to translate complex healthcare data problems into scalable product capabilities using standards like HL7, FHIR, and X12.
Designs and leads the architecture of an enterprise data platform spanning ingestion, storage, processing, governance, and consumption. Works with technologies such as Snowflake, Databricks, BigQuery, Redshift, Spark, Flink, Kafka, and governance tools like Collibra, Alation, Atlan, Unity Catalog, or DataHub.
Builds and operates large-scale data systems that power AI training and evaluation pipelines, handling ingestion, transformation, quality, lineage, and high-throughput delivery to training jobs. Core technologies include Python, JVM or systems languages, Spark/Ray/Beam, and petabyte-scale storage and pipelines.
Designs and leads the enterprise data platform architecture across ingestion, storage, processing, and consumption layers. Works with Snowflake, Databricks, BigQuery, Redshift, Spark, Kafka, and governance tools to build scalable data foundations while mentoring engineers and setting data standards.
Builds and scales Salesforce and the broader GTM tech stack (Outreach, enrichment platforms) for Roboflow's revenue team, while creating custom AI/LLM-powered workflows and partnering with data engineering on SQL/BigQuery dashboards.
Designs and builds a scalable customer data mart and real-time streaming pipelines between backend systems, Zeotap CDP, and Responsys CEP using GCP (BigQuery, Dataform, Cloud Workflows, Scheduler, Eventarc), Terraform, GitHub Actions, Python, and SQL to support marketing AI personalization.
Senior Data Scientist at J.D. Power building ML models for automotive pricing and valuation, using Python, SQL, Snowflake, and Tableau to process vehicle data and deploy models into production.
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