Data Architect

Reading, PA Reading PA 19601

Date : Today (Feb-26-25)

Data Architect

Reading, PA

Today (Feb-26-25)

Work Authorization

US Citizen
GC
H1B
GC EAD, TN EAD, H4 EAD, L2 EAD

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Architect

Rate/Salary ($)

:

Market

Duration

:

Long Term

Sp. Area

:

Data Warehousing/ETL

Sp. Skills

:

Data Architect

Consulting / Contract

Required Skills :

Big Data, Data Architect, Data Modeling, Data Warehousing, Agile, Cloud Computing, Data Engineer, Kafka, Master Data Management, NoSQL, Oracle Apps, Q

Preferred Skills :

Domain :

IT/Software

Work Authorization

US Citizen
GC
GC EAD, TN EAD, H4 EAD, L2 EAD
H1B

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Architect

Rate/Salary ($)

:

Market

Duration

:

Long Term

Sp. Area

:

Data Warehousing/ETL

Sp. Skills

:

Data Architect

Consulting / Contract

Required Skills :

Big Data, Data Architect, Data Modeling, Data Warehousing, Agile, Cloud Computing, Data Engineer, Kafka, Master Data Management, NoSQL, Oracle Apps, Q

Preferred Skills :

Domain : IT/Software

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Wilmington, DE
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Job Description :

Title: Sr Data Architect with Previous Data Engineering Experience

Location: Reading PA - Onsite

Duration: Long Term

Mandatory Skills: Data warehouse, Data Lake, Data Modeling (traditional and latest), Data Management practice, Data Engineer background is mandatory.

Job Description:

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-Premises 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

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