Description AWS Big Data Architect (with Hadoop) Location: Hybrid 4x Onsite - Philadelphia, PA
Contract Duration: April 6, 2026 - December 31, 2026
Employment Type: W2 Contract
OverviewWe 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 Responsibilities- Design 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.
Requirements Required Experience & Skills- Strong background in data management, data access, Big Data, Data Marts, and Data Warehousing.
- Proficiency in SQL, Spark SQL, and DataFrames.
- Experience with modern data warehousing concepts using technologies such as Redshift, Spark, Hadoop, and web services.
- Experience in data architecture and data assembly.
- Knowledge of Data Governance and Data Security practices.
- Hands-on experience with data integration tools (e.g., Talend preferred; Cascading a plus).
- Experience with scripting languages for data manipulation.
- Experience with Business Intelligence tools, MDM, XML, SOA/Web Services.
- Exposure to Data Science technologies and toolsets.
- Bachelor's or Master's degree in Computer Science, Data Processing, or equivalent work experience.
- Strong background in Data Warehousing or related analytical environments.
- Proficiency in Java programming and building frameworks.
- Hands-on experience with Hadoop and Spark.
- Experience with Amazon EMR/EC2 or equivalent cloud technologies.
- Minimum 2 years of experience with Python.
- Experience with Bitbucket and solid understanding of Git fundamentals.
- Familiarity with Linux environments.
- Experience with Jenkins and CI/CD pipelines.
- Strong understanding of core computer science fundamentals.
- Experience with AWS services such as Aurora, Athena, EMR, Redshift, and S3.
- Experience with Postgres and MySQL databases.
- Excellent organizational, communication, and project management skills.
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