Ampstek
Data Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect in New York, NY, with a contract length of unspecified duration and a pay rate of "unknown." Requires 14+ years in IT, 12+ years in data engineering, and expertise in AWS, Python, and data governance.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
January 14, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
New York, NY
-
🧠 - Skills detailed
#Data Ingestion #AWS (Amazon Web Services) #Scala #Big Data #Qlik #ERWin #Data Management #Compliance #Data Engineering #Data Modeling #Data Architecture #PySpark #Data Pipeline #Cloud #Data Warehouse #Data Lake #QlikView #Spark (Apache Spark) #SQL (Structured Query Language) #Kafka (Apache Kafka) #Python #MDM (Master Data Management) #Data Governance #Visualization #Talend #Tableau #API (Application Programming Interface) #Data Lineage #Data Integration #Agile #"ETL (Extract #Transform #Load)" #NoSQL #Databases #Metadata
Role description
Data Architect
Location: New York, New York, United States
Client: Virtusa
14+ years of experience in IT
• 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
• 10+ years of experience in defining Data & Analytics architecture implementing multiple large volume projects across on Prem and on cloud environments. Preferably AWS cloud.
• 7+ years of experience collaborating with Agile teams preferred
• Expertise in designing, validating, and implementing multiple projects across the hybrid infrastructure (On-cloud to On-Premises and vice versa)
• Expertise in setting up Data Lakes and analytical environments
• Expertise with Data Engineering/Big data tools such as Python, PySpark, Kafka, API’s, Talend and BODS, etc.
• Expertise with relational SQL and NoSQL databases
• Experience in building data pipelines, data ingestions, data integrations, data preparations, and traditional Data warehouses and Datamarts
• Experience in building processes supporting data transformation, data structures, metadata, dependency, and workload management
• Strong experience with data modelling techniques utilizing tools such as Erwin, ER Studio etc.
• Experience with visualization tools such as QlikView, Qlik Sense, Tableau, etc.
• Experience in message queuing, stream processing, and highly scalable ‘big data’ data stores
• Meet with Senior & Mid-Level Management to align business process initiatives and strategies with current and planned Penske Data Engineering & Analytics Architecture
• Evaluate Data Engineering & Analytics Tools/Techniques/ Approaches and determine impact on strategic objectives and manage overall implementation
• Be the primary contact and technical lead for multiple critical programs and integrations and resolve customer issues in a timely manner Data Engineering, Data Modeling, Data Warehousing, Master Data Management, Reference Data Management, Data Lineage, Data Governance and Meta Data Management Data & Analytics architecture Data Engineering/Big data tools such as Python, PySpark, Kafka, API’s, Talend and BODS, etc
About Ampstek
Ampstek is a global IT solutions partner serving clients across North America, Europe, APAC, LATAM, and MEA. We specialize in delivering talent and technology solutions for enterprise-level digital transformation, trading systems, data services, and regulatory compliance.
Contact:
Snehil Mishra
📧 snehil@ampstek.com
📞 Desk: 609-360-2673 Ext. 125
🔗 LinkedIn
🌐 www.ampstek.com
Data Architect
Location: New York, New York, United States
Client: Virtusa
14+ years of experience in IT
• 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
• 10+ years of experience in defining Data & Analytics architecture implementing multiple large volume projects across on Prem and on cloud environments. Preferably AWS cloud.
• 7+ years of experience collaborating with Agile teams preferred
• Expertise in designing, validating, and implementing multiple projects across the hybrid infrastructure (On-cloud to On-Premises and vice versa)
• Expertise in setting up Data Lakes and analytical environments
• Expertise with Data Engineering/Big data tools such as Python, PySpark, Kafka, API’s, Talend and BODS, etc.
• Expertise with relational SQL and NoSQL databases
• Experience in building data pipelines, data ingestions, data integrations, data preparations, and traditional Data warehouses and Datamarts
• Experience in building processes supporting data transformation, data structures, metadata, dependency, and workload management
• Strong experience with data modelling techniques utilizing tools such as Erwin, ER Studio etc.
• Experience with visualization tools such as QlikView, Qlik Sense, Tableau, etc.
• Experience in message queuing, stream processing, and highly scalable ‘big data’ data stores
• Meet with Senior & Mid-Level Management to align business process initiatives and strategies with current and planned Penske Data Engineering & Analytics Architecture
• Evaluate Data Engineering & Analytics Tools/Techniques/ Approaches and determine impact on strategic objectives and manage overall implementation
• Be the primary contact and technical lead for multiple critical programs and integrations and resolve customer issues in a timely manner Data Engineering, Data Modeling, Data Warehousing, Master Data Management, Reference Data Management, Data Lineage, Data Governance and Meta Data Management Data & Analytics architecture Data Engineering/Big data tools such as Python, PySpark, Kafka, API’s, Talend and BODS, etc
About Ampstek
Ampstek is a global IT solutions partner serving clients across North America, Europe, APAC, LATAM, and MEA. We specialize in delivering talent and technology solutions for enterprise-level digital transformation, trading systems, data services, and regulatory compliance.
Contact:
Snehil Mishra
📧 snehil@ampstek.com
📞 Desk: 609-360-2673 Ext. 125
🔗 LinkedIn
🌐 www.ampstek.com
