Data Architect

Description

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- Remote

Who you are -

At least 10- 15 years of professional experience in data architecture

Must have familiarity with traditional data technologies (Data Warehouse etc) as well as transformative capabilities such as Data Lakehouse Data Fabric and Data Mesh to define go-forward strategies

Experience 13to15yrs

Required Skills Technical Skills- Google BigQuery Domain Skills- 5.Nice to have skills Techincal Skills- Python Google Big Table Domain Skills- 6.Technology Data Management

A Day in the life of a Data Architect at Cognizant -

Strong experience in addressing security requirements data privacy data security and data integration needs Experience with Data Lakehouse Data Fabric and Data Mesh concepts Solution Architecture with focus on Big Data Requirements capture conceptual and contextual architectures technology selection detailed design and planning Data Fabric/Mesh/Lakehouse knowledge or other data implementation experience Strong knowledge in ETL methods and tools Experience with data architecture data modeling schema design and development Good understanding of at least one coding language (e.g. Python Scala etc) Knowledge of Apache Spark Kafka Knowledge and experience working with Structured and Unstructured databases Excellent communication skills with the ability to convey complex technical information in an understandable manner Ability to logically troubleshoot issues determine root causes and present suggested solutions clearly and concisely Ability to handle competing priorities flexibly and address each in an effective and timely manner in a fast-paced working environment.

How we take care of our people

• Competitive vacation and flexible working arrangements
• Comprehensive and inclusive health benefits
• Partnership with Udemy will give you unlimited access to all the courses
• Physical and mental wellness programs
• Paid parental leave ( US), including adoption
• A variety of professional development and mentorship opportunities
• Promotional eligible job move program
• 401( k) Retirement Savings Plan- from day 1
• Employee Stock Purchase Program.

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Qualifications

Technical Skills

SNo Primary Skill Proficiency Level * Rqrd./Dsrd. 1 Google BigQuery PL4 Required 2 Google Big Table PL4 Desired 3 Python PL4 Desired

* 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.