Principal Data Architect, Consulting
4 weeks ago
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.
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 Principal Data Architect will have following responsibilities:
- 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 skills and experience:
- Proven track record in delivering transformative cloud data platforms. We are hyperscale agnostic but for this role AWS is specially required.
- Deep understanding of data strategy formulation and execution.
- Ability to navigate complex programs and drive successful outcomes.
- Exceptional communicator, adept at bridging the gap between technical and business stakeholders.
- Familiarity with on the cloud BI and AI/ML technologies.
- Ability to navigate complex programs and drive successful outcomes.
- Hands on experience in shaping and designing data solutions (data analytics, data integration, data platform) using cloud-based hyperscale's, with emphasis on AWS services including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, RDS, Athena, Kinesis, Quicksight.
- Hands on experience on design solutions using Snowflake and DBT. Familiarity with Databricks or Informatica.
- Hands on experience in designing data models aligned to functional and non-functional requirements, and business objectives.
- Expert in data modelling and latest data trends including Data Warehouses, Data Lakes, 3NF, Dimensional Modelling, Data Mesh, Data Fabric.
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