
Data Architect
US Tech Solutions · Pasadena, CA, United States
Weak hiring record · median 3812 days open
All reasons
- Open 3553 days
- 100% of this employer's openings are over 60 days old
In its favour
- Still listed on the employer's own board
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
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