· Architect and integrate data versioning platforms like DVC. Similar to Get for code
· Architect and develop international MAM and DAM data platforms and integrations for digital other ML assets
· Architect, integrate and implement data transfer software like Aspera vs Signiant
· Architect, integrate and implement workflow management with Airflow, Luigi or Jenkins
· Develop API data connection with NAS, RAID, cloud and HDSF data stores
· Develop application Rest API and web service SOAP APIs integrations
· Script SQL and NoSql queries for acquiring, retrieving and augmenting data assets and metadata from NAS, DynamoDB, MongoDB, Snowflake, S3 and Blob storage
· Python scripting for workflows, jobs, ETLs and machine learning execution
· Architect and integrate enterprise NAS storage
· Familiarity with Pytorch and/or TensorFlow frameworks
· Creation, population and maintenance of XML and JSON data schemas
· Develop and automate third party application rest APIs
· Scripting of runtime languages like Node.js
· Architect and implementation Kubernetes and Docker integrations
· Architect and support code GPU ML infrastructure and data integrations
· Architect and support data backups, replication and failover
· Architect and implement message queuing and process flows via Kafka, RabbitMQ
· Architect and implement of Linux servers, load balances, and server farms
· Architect and implement solutions to monitor, performance tune, alert and troubleshoot GPU, ML data augmentation, ML processes and data flow jobs
· Architect and implement AWS cloud infrastructure like Lambda functions, Kinesis, EMR, S3, S3 Glacier and/or AZURE Functions, AWS BLOB
· Expertise in normalized de-normalized data and when to use each schema
· Expertise in structured, semi structured, and unstructured data storage and pipelines
· Architect and implement Apache solutions like (Hadoop, HIVE, Spark Flum, Airflow, Flink)
· Expertise in PII data tagging, workflows and categorization (GDPR, CCPA)
· Expertise in general data security, encryption, retention and access workflow
· Implementation of distributed computing platforms
· Experience using Atlassian tools like Jira and Confluence, plus Bitbucket and Git for version control.
· Familiar with development methodologies such as Agile/Kanban
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