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Data Architect

US Tech Solutions · Pasadena, CA, United States

Weak hiring record · median 3812 days open

2222

Hiring signal

Ghost risk

Open 3553 days · How we score

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  • Open 3553 days
  • 100% of this employer's openings are over 60 days old

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  • Still listed on the employer's own board

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Data Architect at US Tech Solutions. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

RESPONSIBILITIES

  • Translating customers business & technical requirements into a data solution architecture in alignment with ADP's overall architectural directions and strategies.
  • A Technical leader who drives the customers’ transformation to modern Data Architecture & store technologies such as NoSQL.
  • Develops a deep understanding of the current/future technical challenges of customers, and based on that understanding, formulates an aspirational application architecture and transformation roadmap.
  • Translates complex Data store centric requirements and use cases to technical artifacts such as application specifications, data models and architectural blueprints.
  • Identify and implement Performance improvements and track performance metrics.
  • Establish and drive standards (performance, security) across products.
  • Develop strategies for data acquisition; achieve recovery, and implementation of database.
  • Should work with Database Administrators and Data Analysts to ensure they can easily use and access data.
  • Maintain database integrity and plan for natural disaster and cyber-attacks.
  • Making use of code and data the architect should turn it into logical patterns that can be used for analysis purpose.
  • Deliver convincing and persuasive presentations to both technical and business teams.
  • As the custodian of Common Data Model will provide the requisite standards and governance around the canonical model.

QUALIFICATIONS REQUIRED

  • Excellent knowledge of Computation Theory, Data Structures, Algorithms, Design Patterns and Data Modelling techniques.
  • Excellent communication, articulation and presentation skills.
  • Experience building large scale distributed data processing systems/applications.
  • Strong foundational knowledge and experience with distributed systems and computing systems in general.
  • Deep understanding of various ETL/ELT tools is required.
  • Skilled at logical and physical data modeling, data policies, warehousing, strategy and query languages.

Thanks & Regards

Kushal Kumar

201-932-1539

Skills

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