Keylent Inc · 6 hours ago
Senior Data Architect
Keylent Inc is seeking a Senior Data Architect with extensive experience in data engineering and architecture. The role involves designing and implementing data solutions across various environments and ensuring seamless integration of enterprise data models.
Responsibilities
14+ years of overall technology experience required
12+ years of Data Engineering, Data Modeling, Data Warehousing, Master Data Management, Reference Data Management, Data Lineage, Data Governance and Meta Data Management experience required
7+ years of experience in defining Data & Analytics architecture implementing multiple large technology projects
5+ years of experience working with Agile teams preferred
Expertise in designing, validating and implementing multiple projects across the hybrid infrastructure (On-cloud to On-Premise and vice versa)
Experience in seamless integration of enterprise data models with data models of packaged solutions (e.g. Oracle Apps, Workday, SAP, Service Now)
Expertise in setting up Data Lakes and analytical environments
Expertise with Data Engineering tools such as Talend, BODS
Expertise with relational SQL and NoSQL databases
Extensive experience in building data pipelines, data ingestions, data integrations, data preparations, and traditional Data warehouses and DataMarts
Experience with visualization tools such as QlikView, Qlik Sense, Tableau, etc
Experience in message queuing, stream processing, and highly scalable ‘big data’ data stores
Experience with big data tools such as Kafka
Datawarehouse, Data Lake, Data Modelling (traditional and latest), Data Management practice are mandatory
Qualification
Required
14+ years of overall technology experience required
12+ years of Data Engineering, Data Modeling, Data Warehousing, Master Data Management, Reference Data Management, Data Lineage, Data Governance and Meta Data Management experience required
7+ years of experience in defining Data & Analytics architecture implementing multiple large technology projects
Expertise in designing, validating and implementing multiple projects across the hybrid infrastructure (On-cloud to On-Premise and vice versa)
Experience in seamless integration of enterprise data models with data models of packaged solutions (e.g. Oracle Apps, Workday, SAP, Service Now)
Expertise in setting up Data Lakes and analytical environments
Expertise with Data Engineering tools such as Talend, BODS
Expertise with relational SQL and NoSQL databases
Extensive experience in building data pipelines, data ingestions, data integrations, data preparations, and traditional Data warehouses and DataMarts
Experience with visualization tools such as QlikView, Qlik Sense, Tableau, etc
Experience in message queuing, stream processing, and highly scalable ‘big data' data stores
Experience with big data tools such as Kafka
Datawarehouse, Data Lake, Data Modelling (traditional and latest), Data Management practice are mandatory
Preferred
5+ years of experience working with Agile teams preferred
Company
Keylent Inc
Keylent provides Software Development Services in the Cloud, Analytics and Digital Transformation space.
Funding
Current Stage
Growth StageCompany data provided by crunchbase