Data Architect

US Tech Solutions is a global staff augmentation firm providing a wide-range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit our website

We are constantly on the lookout for professionals to fulfill the staffing needs of our clients, set the correct expectation and thus becomes an accelerator in the mutual growth of the individual and the organization as well.

• 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 No
  
  SQL.
• 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.
• 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.
• Turn code and data into logical patterns that can be used for analysis purposes.
• Deliver convincing and persuasive presentations to both technical and business teams.
• As the custodian of the Common Data Model, provide the requisite standards and governance around the canonical model.

• 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.
• Skilled at logical and physical data modeling, data policies, warehousing, strategy and query languages.