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Data Architecture & Data-as-a-Product Enablement
• Establish standards for data products: ownership, data contracts, schema evolution, quality SLAs, lineage, access controls
• Reduce fragmentation via canonical domain modeling and shared semantics
AI Platform Enablement & Embedded Intelligence
• Architect AI foundations for automation, recommendations, copilots, and insights
• Define scalable patterns for AI enablement, including pipelines for training/inference, evaluation, versioning, monitoring, and governance
Cloud-Native Architecture & GCP Partnership
• Design and optimize cloud-native architectures using Google Cloud Platform (preferred) or AWS/Azure
• Ensure reliability, security, cost efficiency, and operational excellence
Technical Governance & Cross-Team Collaboration
• Lead asynchronous-first technical governance via RFC/ADR processes
• Provide architectural reviews, mentorship, and reusable golden paths for engineering teams
• Collaborate with global architects and engineering leaders across time zones
Job ID: 145445239
Skills:
snowflake , Sqlalchemy, Cassandra, PostgreSQL, Pyspark, Kafka, Microservices, Numpy, Docker, Terraform, Distributed Systems, Python, Java, BigQuery, Scala, Redshift, REST, Pandas, Spark, MongoDB, FastAPI, Kubernetes, Airflow, Flink, GRPC, Dask, event-driven architectures, Dagster, data processing frameworks
Skills:
Power Bi, Pyspark, Azure Synapse Analytics, Databricks, Azure Data Lake Storage ADLS Gen2, Microsoft Fabric, Azure Data Factory ADF
Skills:
Saas, Containers, Devops, Cloud Infrastructure, Iaas, Gcp, Data Migration, Distributed Computing, Paas, AWS, Azure, Redshift, Analytical roles, Cloud agnostic solutions, Technical Solutioning, Data lakes, Business intelligence, Data pipelines, Data integration solutions, Monolith to microservices transformation, Microservices Architecture, Data warehouse solutions, Big Query, code refactoring, Security features and Policies, Observability, Open source solutions, Security, Business transformation projects
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