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The Company
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 has over 350,000 employees as of January 2024. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.
The Company
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 has over 350,000 employees as of January 2024. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.
Cognizant Consulting
At Cognizant, our consultants orchestrate the capabilities to truly change the game across strategy, design, technology and industry/functional knowledge to deliver insight at speed and solutions at scale. Our consulting services elevate the unique abilities and business aspirations of customers and employees and build relationships based on trust and value.
Role Overview
The Senior Data Architect will design and implement solutions using a range of AWS infrastructure, including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, RDS, Athena, Kinesis, Quicksight. We also widely use ‘other’ tech such as Snowflake, DBT, Databricks, Informatica, Matillion, Airflow, Tableau, Power BI etc.
Transformational Leadership: Lead and guide the development of cloud data platforms, leveraging your extensive experience to drive innovation and change.
Effective Communication: Collaborate seamlessly with C-suite executives, translating business vision into actionable data initiatives that deliver tangible value.
Data Strategy Expertise: Shape robust data strategies that align with organizational goals, emphasizing business intelligence (BI) and AI/ML capabilities.
Team Building: Assemble and nurture high-performing data teams, fostering a culture of excellence and driving multi-million-pound benefits.
Solution Implementation: Successfully drive complex, large-scale data solutions from concept to execution.
Continuous Learning: Demonstrate a commitment to personal and team growth, staying abreast of industry trends and best practices.
Essential Experience
* Proven track record in delivering transformative cloud data platforms.
* Deep understanding of data strategy formulation and execution.
* Ability to navigate complex programs and drive successful outcomes.
* Shaping & designing solutions (notably data analytics, data integration, data platform)
* Driving the performance of assurance activity to delivery appropriate quality
* Leading the production of solutions in collaboration with Engagement Manager
* Presenting public & client facing collateral about projects and practices
* Designing & developing solutions (notably analytics, data integration, AI/ML)
* Designing & developing data models aligned to the functional and non-functional requirements
* Work closely with other members of agile deployment team
* Selection & configuration of appropriate, base technologies (eg Amazon Redshift, RDS)
* Selection & application of appropriate standards & principles
* Capture & implementation of functional & non-functional requirements
* Expert in data modelling and latest data trends including Data Warehouses, Data Lakes, 3NF, Dimensional Modelling, Data Mesh, Data Fabric
* Supporting the identification of risks & issues
* Undertaking appropriate assurance activity (eg design review, code walk-through, code test) to delivery appropriate quality in the technology solutions being produced
* Harvesting valuable assets to support learning & effective re-use
* Promotion of DevOps practices with both clients & internal delivery teams
* Feed into development of the Data Management Practice
* Supporting the shaping of engagements through contribution to production and operational estimates
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Engineering and Information Technology
* Industries
IT Services and IT Consulting and Business Consulting and Services
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