Data Architect

1 month ago


Jersey City, United States Saransh Inc Full time

Data Architect

Jersey City, NJ (Hybrid - 3 days a week onsite)

Contract


Note:

Candidate from Deloitte or Accenture or some big companies.

Snowflake extensive exp is must.


Mandatory Skills:

  • Data Modeling
  • Snow Flake
  • Accounts payable and Capital markets Architect


What client is looking for:

  • These architects are going to be the primary person(s) who need to own entire arch + design and as well talk to business on how to aspects.
  • Basically, they need to drive things. If they have some background/knowledge of Accounts Payable systems/work flows + Payment flows, invoice processing, Ledgers, payables, Accruals. Cash flow, Amortization etc that would be great. But fundamentally their role is Data Architecture for entire system.


Description:

Proficiency: Design, develop and implement data architecture for a large enterprise in two of the following: Data ingestion, Data Management, Data Delivery, Data Consumption.


Required:

  • Architect, design and implement high performance large volume data integration, transformation, warehouse, data lakes, data in cloud or large volume warehouse, data in cloud, data analysis , reporting and visualization of data from data warehouse using any one tool like (PowerBI, Tableau, D3 etc).
  • Design and implement any one of cloud big data solution (AWS/AZURE/GCP/Apache Hadoop).
  • Plan information architecture by studying the site concept, strategy, domain and target audience; information structure and features, designing information structure, evaluating information representation, backup, recovery and security specification.
  • Customer focus – improves customer service, effectively engages customers, build with customer on your solution capability.
  • Provide end-to-end technical guidance and roadmaps for Sales & Marketing.
  • Validate estimates from team.
  • Hold certification in Architect/Big Data specialty certification in one of AWS or Azure or GCP with experience in knowledge of other architecting Big Data solutions on other cloud and Big Data platforms.

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