Compunnel Inc.
Enterprise Data Architect
Compunnel Inc., Chicago, Illinois, United States, 60290
Position : Data Principal ArchitectLocation : Chicago, IL (Onsite)Mode of Hire : Fulltime
Job Description –
• Expertise in data architecture and design, for both structured and unstructured data .• Expertise in data modeling and experience in developing POC’s• Expertise with all aspects of data management: data governance, data mastering, meta-data management, data taxonomies and ontologies .• Expertise in architecting and delivering highly scalable and flexible, cost effective, cloud-based enterprise data solutions• Fluent understanding of data security and compliance requirements• Fluency architecting and documenting architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams)• Understanding of Solutions Architecture methodology and practices• Ability to translate business requirements into conceptual and detailed technology solutions• Ability to perform third-party vendor assessments• Strong collaboration skills and building effective working relationships• Strong leadership skills.
Key Pointers……Someone with data engineering background and now working as a Data Architect/ Enterprise architectExperience and good understanding of OLTP systemGood exp in RDBMS ( Oracle , DB2, SQL server)Hands on in Legacy application/data migration to cloud platform .Hands on experience in AWS and its native services ( AWS S3, Serverless architecture, Lambda functions, Redshift )Hands on in Python/ PysparkGood exp in data/ Dimensional modelingGood understanding of Data gov, data lineage , data security aspect in cloud.
Job Description –
• Expertise in data architecture and design, for both structured and unstructured data .• Expertise in data modeling and experience in developing POC’s• Expertise with all aspects of data management: data governance, data mastering, meta-data management, data taxonomies and ontologies .• Expertise in architecting and delivering highly scalable and flexible, cost effective, cloud-based enterprise data solutions• Fluent understanding of data security and compliance requirements• Fluency architecting and documenting architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams)• Understanding of Solutions Architecture methodology and practices• Ability to translate business requirements into conceptual and detailed technology solutions• Ability to perform third-party vendor assessments• Strong collaboration skills and building effective working relationships• Strong leadership skills.
Key Pointers……Someone with data engineering background and now working as a Data Architect/ Enterprise architectExperience and good understanding of OLTP systemGood exp in RDBMS ( Oracle , DB2, SQL server)Hands on in Legacy application/data migration to cloud platform .Hands on experience in AWS and its native services ( AWS S3, Serverless architecture, Lambda functions, Redshift )Hands on in Python/ PysparkGood exp in data/ Dimensional modelingGood understanding of Data gov, data lineage , data security aspect in cloud.