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AWS Big Data Architect

United States, Philadelphia Employment contract · Job Posted March 13, 2026
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Job Description

We 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.

Job Responsibility

  • 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

  • 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

What we offer

  • medical
  • vision
  • dental
  • life and disability insurance
  • company 401(k) plan

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