Big Data Hadoop Architects
AWS Big Data Architect (with Hadoop) Location:
Hybrid 4x Onsite - Philadelphia, PAContract Duration:
April 6, 2026 - December 31, 2026Employment Type:
W2 ContractOverviewWe are seeking a highly skilled AWS Big Data Architect / Senior Data Engineer to design, develop, and deliver scalable Big Data Warehouse solutions. This is a hands-on role suited for someone who is passionate about technology, thrives in a collaborative environment, and can work effectively with both technical and non-technical stakeholders. The ideal candidate excels in fast-paced settings and is committed to producing high-quality, impactful results.
This role offers the opportunity to collaborate with engineering teams across the enterprise and influence broader data and technology strategies.
Key ResponsibilitiesDesign and develop scalable Big Data Warehouse solutions across the full data supply chain.
Build and implement metadata management solutions.
Create and maintain technical documentation, user documentation, data models, data dictionaries, glossaries, process flows, and architecture diagrams.
Enhance and expand the enterprise Data Lake environment.
Solve complex data integration challenges across multiple systems.
Design and execute strategies for real-time data analysis and decision-making.
Collaborate with business partners, analysts, developers, architects, and engineers to support ongoing data quality initiatives.
Work closely with Data Science teams to improve actionable insights.
Continuously expand knowledge of new tools, platforms, and technologies.
Apply Now
Apply Now
Hybrid 4x Onsite - Philadelphia, PAContract Duration:
April 6, 2026 - December 31, 2026Employment Type:
W2 ContractOverviewWe are seeking a highly skilled AWS Big Data Architect / Senior Data Engineer to design, develop, and deliver scalable Big Data Warehouse solutions. This is a hands-on role suited for someone who is passionate about technology, thrives in a collaborative environment, and can work effectively with both technical and non-technical stakeholders. The ideal candidate excels in fast-paced settings and is committed to producing high-quality, impactful results.
This role offers the opportunity to collaborate with engineering teams across the enterprise and influence broader data and technology strategies.
Key ResponsibilitiesDesign and develop scalable Big Data Warehouse solutions across the full data supply chain.
Build and implement metadata management solutions.
Create and maintain technical documentation, user documentation, data models, data dictionaries, glossaries, process flows, and architecture diagrams.
Enhance and expand the enterprise Data Lake environment.
Solve complex data integration challenges across multiple systems.
Design and execute strategies for real-time data analysis and decision-making.
Collaborate with business partners, analysts, developers, architects, and engineers to support ongoing data quality initiatives.
Work closely with Data Science teams to improve actionable insights.
Continuously expand knowledge of new tools, platforms, and technologies.
Apply Now
Apply Now