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Jobs or company...
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Big Data Architect -- Washinton, DC USC/

Salary undisclosed

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Dice

Availability Status

This job is expected to be in high demand and may close soon. We’ll remove this job ad once it's closed.

Original
Simplified

Hybrid(3-4 Days)
Need Locals to DC, MD AND VA only
Need Linkedin and DL

Client is seeking a Big Data Architect to assist in supportaing the design, development, implementation and maintenance of an enterprise Big Data solution as part of the our client's Data Modernization Effort.

Requirements

  • Provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
  • Architecture experience includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse) and data pipeline/ETL development tools (including Streamsets, Azure Data Factory)
  • Working with Enterprise wide tools such as Enterprise Data tools such as Esri, Tableau, MicroStrategy, API Gateways, and Oracle databases and integration tools.
  • Develops, implements, maintains and enforces documented standards and procedures for the design, development, installation, modification, and documentation of assigned systems
  • Performs, monitoring, maintenance, or reporting on real- time databases, real-time network and serial data communications, and real-time graphics and logic applications
  • Ensures project life-cycle is in compliance with our customer's standards and procedures
Qualifications

Skills

  • Required 5+ years' xperience implementing modern Big Data storage and analytics platforms such as Databricks and Data Lakes
  • Required 5+ years' knowledge of modern Big Data and Data Architecture and Implementation best practices
  • Required 5+ years' knowledge of architecture and implementation of networking, security and storage on cloud platforms such as Microsoft Azure
  • Required 5+ years' experience with deployment of data tools and storage on cloud platforms such as Microsoft Azure
  • Required 5+ years' experience of Data-centric systems for the analysis and visualization of data, such as Tableau, MicroStrategy, ArcGIS, Kibana, Oracle
  • Required 5+ years' experience querying structured and unstructured data sources including SQL and NoSQL databases
  • Required 5+ years' experience modeling and ingesting data into and between various data systems through the use of Data Pipelines
  • Required 3+ years' experience with API / Web Services (REST/SOAP)
  • Required 3+ years' experience with complex event processing and real-time streaming data
  • Required 3+ years' experience with deployment and management of data science tools and modules such as JupyterHub
  • Required 3+ years' experience with ETL, data processing, analytics using languages such as Python, Java or R
  • Required 12 years' experience planning, coordinating, and monitoring project activities
  • Required 12 years' experience leading projects, ensuring they are in compliance with established standards/procedures

Highly Desired Databricks Certified Data Engineer Professional

Highly desired 3+ years' experience with Cloudera Data Platform

Bachelor's degree in IT or related field or equivalent experience

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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