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Ampstek · 11 hours ago

Data Architect

New York, NY

Contract

Onsite

Senior Level, Lead/Staff

14+ years exp

Ampstek is a global IT solutions partner serving clients across North America, Europe, APAC, LATAM, and MEA. They are seeking a Data Architect to design and implement data architecture solutions, manage data engineering projects, and collaborate with Agile teams to align business processes with data initiatives.

IT Management

Growth Opportunities

Hiring Manager

Sangeetha Salem Viswanathan

Responsibilities

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

Qualification

Data EngineeringData ModelingData WarehousingData GovernanceAWS CloudData LakesPythonSQL DatabasesNoSQL DatabasesData PipelinesData VisualizationAgile CollaborationMessage QueuingStream ProcessingMetadata ManagementWorkload Management

Required