Sr. Data Architect - Mettawa, United States - Cognizant Technology Solutions

Description

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.

Practice - AIA - Artificial Intelligence and Analytics

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.

By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant's AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

Responsibilities

Design and architect solutions on AWS Cloud and related technologies including S3, Lambda, Glue, Athena, EC2, EMR, RDS, Redshift, Cloudwatch with Docker, Kubernetes, GitHub, Jenkins, CICD.

Design, build and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements.

Educate clients and Junior Developers on Cloud technologies and influence direction of the solution.

Work with the SMEs to implement data strategies and build data flows.

Manage data related requests, analyze issues and provide efficient resolution. Design all program specifications and perform required tests.

Prepare codes for all modules according to required specification.

Monitor all production issues and inquiries and provide efficient resolution.

Evaluate all functional requirements, map documents, and troubleshoot all development processes.

Required Skills, Experience, and Qualifications

Bachelor's Degree in Engineering or relevant field

10+ years of success in consultative/complex deployment project, architecture, design, implementation and/or support of data and analytics solutions

Deep understanding of different database, analytics and migration services and structures within AWS, and the various trade-offs involved with deciding what services to use.

Experience migrating client workloads into AWS from other clouds (public or private) as well as traditional on-premise solutions

Experience managing client workloads across multiple AWS availability zones and regions

Experience with data modeling.

Experience with "on-premise to cloud migrations or IT transformations

Strong technical Experience with AWS cloud services: S3, Glue, Lambda, IAM, EC2, EFS, EBS, EMR, RDS, Redshift, Athena, Cloudwatch , SNS, SQS, SES, Glacier and Kinesis

DevOps engineering exposure to build CI\CD pipeline with GitHub, Jenkins, Docker, Kubernetes, AWS DevOps (CodeCommit, CodeBuild, CodeDeploy, CodeArtifact).

In depth understanding of big data tools: Hadoop, Apache Spark, Kafka, etc

Hands-on experience in any ETL Tool like Informatica or Talend

Experience with stream-processing systems: Storm, Spark-Streaming, etc.

Implementation of security protocols.

Experience in creating tables, partitioning, bucketing, loading and aggregating data using Spark SQL/Scala

Experience with relational SQL, Snowflake and NoSQL databases, including Postgres and Cassandra.

Strong understanding of Data Modeling and defining conceptual logical and physical data models.

Proven track record of building deep sales/technical relationships with CXO's and practice building executives within highly strategic system integrators.

Experience in managing various client relationships to get consensus on solutions.

Preferred Qualifications:

Programming experience with object-oriented/object function scripting languages: Python, Spark, Scala, Shell Scripting.

Experience of working in Multivendor Cloud based application tailored environment.

Experience working on Agile projects.

At least 1 AWS Cloud Certification – Associate or Professional

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Salary and Other Compensation:

The annual salary for this position is between $[125,000 – 145,000] depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant's discretionary annual incentive program and stock awards, based on performance and subject to the terms of Cognizant's applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

Medical/Dental/Vision/Life Insurance

Paid holidays plus Paid Time Off

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Cognizant is an Equal Opportunity Employer M/F/D/V. Cognizant is committed to ensuring that all current and prospective associates are afforded equal opportunities and treatment and a work environment free of harassment.

Cognizant is recognized as a Military Friendly Employer and is a coalition member of the Veteran Jobs Mission. Our Cognizant Veterans Network assists Veterans in building and growing a career at Cognizant that allows them to leverage the leadership, loyalty, integrity, and commitment to excellence instilled in them through participation in military service

Technical Skills

SNo
Primary Skill
Proficiency Level *
Rqrd./Dsrd.

1
AWS
PL1
Desired

2
AWS Big Data
PL1
Desired

3
AWS EMR
PL4
Desired

4
Amazon Redshift
PL1
Desired

5
Informatica
PL4
Required

Domain Skills

SNo
Primary Skill
Proficiency Level *
Rqrd./Dsrd.

1
Communication Skills
NA
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.