SENIOR ARCHITECH
Core
Design and implement scalable data architectures and ETL pipelines across multi-cloud environments.
Role type
Senior Data Architect
Builds
Data platforms, ETL pipelines, and data warehousing solutions
Domain
Cloud data engineering and architecture
Deliverable
production ML models | infrastructure
Required skills
Azure Kubernetes Services, Docker, Helm, Microsoft Azure Synapse, Databricks, Unity Catalog, Amazon Web Services S3, Azure Data Lake Storage Gen v2, Azure Key Vault, Oracle 19c, PL/SQL, Google Cloud Platform (GCP), SAP Data Services, Microsoft SQL Server, NodeJS, Typescript, JavaScript, HTML 5, CSS 3, PostgreSQL, Amazon Glue, pySpark, Python, Jupyter, Detectron 2, pyTorch, Flask, TensorFlow, GCP Vision AI, Delta Lake, MySQL, MongoDB, ArangoDB, SAS 9.2, JBOSS EAP, Java EE, UML, Data Architecture, ETL, Data Warehousing, SVN, Git, BigQuery, Cloud Dataflow, Cloud Dataproc, NLP
Technologies
Azure Kubernetes Services, Helm, Docker, Microsoft Azure Synapse, Microsoft Azure SQL, Microsoft Azure Stream Analytics, Microsoft Azure Purview, Databricks, Unity Catalog, Amazon Web Services S3, Azure Data Lake Storage Gen v2, Azure Key Vault, Incorta, CKan, Oracle 19c, Oracle 11g, Oracle 18c, PL/SQL, Google Cloud Platform (GCP), SAP Data Services, Microsoft SQL Server, NodeJS, Typescript, Javascript, HTML 5, CSS 3, PostgreSQL, Qlik View, Amazon Glue, pySpark, Qlik Sense, Talend Open Studio, Microsoft Power BI, IBM Netezza, SAP HANA, Python, Jupyter, Detectron 2, pyTorch, Flask, Tensor Flow, GCP Vision AI, Delta Lake, MySQL, MongoDB, ArangoDB, SAS 9.2, SAS Enterprise Guide, JBOSS EAP, Java EE, UML, Data Architecture, ETL, Data Warehousing, SVN, Git, BigQuery, Cloud Dataflow, Cloud Dataproc, NLP
Responsibilities
Design and implement scalable data architectures and ETL pipelines across multi-cloud environments.
Seniority
Senior, hands-on IC