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Data Architecture at Cognizant in Lexington, Kentucky

Posted in Information Technology 30+ days ago.

Type: Full-Time

Job Description:

Data Architecture

We are Cognizant Artificial Intelligence

Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. But clients need new business models built from analyzing customers and business operations at every angle to really understand them.

With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks

*This role is not able to offer visa transfer or sponsorship now or in the future*

Location -  Lexington, KY

Position Responsibilities

  • Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).

  • Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively.

  • Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).

  • Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models

  • Define and govern data modelling and design standards, tools, best practices, and related development for enterprise data models.

  • Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.

  • Hands-on modelling, design, configuration, installation, performance tuning, and sandbox POC.

  • Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.

Qualifications (Includes Primary Skill, Secondary Skill and other qualifications)

•       Bachelor’s or master’s degree in computer/data science technical or related experience.

•       5+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).

•       Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-centre contexts required.

•       Good knowledge of metadata management, data modelling, and related tools (Erwin or ER Studio or others) required.

•       Experience in team management, communication, and presentation.




Technical Skills

SNo Primary Skill Proficiency Level * Rqrd./Dsrd.
1 Data Architect PL4 Desired
2 Data Modeler PL4 Desired
3 Big Decisions PL4 Required


* Proficiency Legends

Proficiency Level Generic Reference
PL1 The associate has basic awareness and comprehension of the skill and is in the process of acquiring this skill through various channels.
PL2 The associate possesses working knowledge of the skill, and can actively and independently apply this skill in engagements and projects.
PL3 The associate has comprehensive, in-depth and specialized knowledge of the skill. She / he has extensively demonstrated successful application of the skill in engagements or projects.
PL4 The associate can function as a subject matter expert for this skill. The associate is capable of analyzing, evaluating and synthesizing solutions using the skill.

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