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Data Architect on w2

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Role: Data Architect Location: Piscataway, NJ Duration: 12 months
Requirement:

  • Strong experience of progressive information management solutions and end-to-end development life-cycle support and SDLC processes.
  • Proficiency in data modeling concepts and techniques, including entity-relationship modeling, dimensional modeling, and normalization. Ability to design logical and physical data models that align with business requirements and support efficient data storage and retrieval.
  • Established experience delivering information management solutions to large numbers of end users.
  • Demonstrated understanding of enterprise data warehouse, big data, BI & analytics, content management and data management.
  • Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalization, and dimensional data modelling such as OLAP, or data vault.
  • Good fundamentals around security integration including Kerberos authentication, SAML and data security and privacy such as data masking and tokenization techniques.
  • In-depth knowledge of various database management systems (DBMS) such as relational databases (e.g., Oracle, SQL Server, PostgreSQL), NoSQL databases (e.g., MongoDB, Cassandra), and cloud-based data services (e.g., Amazon RDS, Azure SQL Database).
  • Experience of data integration patterns, data movement technologies, and data synchronization methods. Proficiency in designing data pipelines for batch and real-time data processing.
  • Familiarity with big data technologies and platforms such as Hadoop, Spark, and related ecosystems. Understanding of data lakes, data warehouses, and data analytics tools to support advanced analytics, machine learning, and business intelligence.
  • Understanding of cloud-based data services and platforms, including AWS, Azure, or Google Cloud. Ability to design data architectures for cloud environments, leveraging cloud storage, databases, and analytics services.
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