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- Tasks: Design and implement innovative cloud data solutions using AWS and other cutting-edge technologies.
- Company: Join Cognizant, a top global IT and consulting firm with over 350,000 employees.
- Benefits: Enjoy opportunities for continuous learning, remote work options, and a vibrant corporate culture.
- Why this job: Be part of a transformative team that drives innovation and delivers impactful data strategies.
- Qualifications: Proven experience in cloud data platforms and data strategy formulation is essential.
- Other info: Lead high-performing teams and collaborate with C-suite executives to shape the future of data.
The predicted salary is between 43200 - 72000 £ per year.
The Company Cognizant 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 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 Principal 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 technologies such as Snowflake, DBT, Databricks, Informatica, Matillion, Airflow, Tableau, Power BI.
- 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 deliver 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 (e.g. 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 (e.g. design review, code walk-through, code test) to deliver 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.
Principal Data Architect, Consulting employer: Cognizant
Contact Detail:
Cognizant Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Architect, Consulting
✨Tip Number 1
Familiarise yourself with the specific AWS services mentioned in the job description, such as S3, Redshift, and Lambda. Having hands-on experience or relevant certifications can significantly boost your credibility during interviews.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've successfully led data teams or projects in the past. Be ready to discuss how you fostered a culture of excellence and drove innovation within your teams.
✨Tip Number 3
Research Cognizant's recent projects and initiatives in data architecture and cloud solutions. This knowledge will help you tailor your discussions and demonstrate your genuine interest in their work and values.
✨Tip Number 4
Prepare to articulate your understanding of data strategy and its alignment with business goals. Think of specific instances where your data initiatives have delivered tangible value to an organisation.
We think you need these skills to ace Principal Data Architect, Consulting
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in cloud data platforms and AWS technologies. Use specific examples that demonstrate your expertise in data strategy formulation and execution.
Craft a Compelling Cover Letter: Write a cover letter that showcases your transformational leadership skills and ability to communicate effectively with C-suite executives. Explain how your background aligns with Cognizant's goals and the role of Principal Data Architect.
Showcase Technical Skills: In your application, emphasise your proficiency with AWS services like S3, Redshift, and Lambda, as well as other technologies mentioned in the job description. Provide examples of how you've successfully implemented these solutions in past roles.
Highlight Team Leadership Experience: Discuss your experience in building and nurturing high-performing data teams. Include specific instances where you drove multi-million-pound benefits through effective team collaboration and innovation.
How to prepare for a job interview at Cognizant
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AWS infrastructure and other technologies mentioned in the job description. Highlight specific projects where you designed and implemented data solutions, focusing on the tools you've used like Redshift, DynamoDB, and Snowflake.
✨Demonstrate Leadership Skills
As a Principal Data Architect, you'll need to lead teams effectively. Share examples of how you've built high-performing teams and fostered a culture of excellence. Discuss any transformational leadership experiences that showcase your ability to drive innovation.
✨Communicate Clearly with Business Impact
Practice articulating complex technical concepts in a way that resonates with non-technical stakeholders, especially C-suite executives. Prepare to explain how your data strategies align with business goals and deliver tangible value.
✨Stay Current with Industry Trends
Show your commitment to continuous learning by discussing recent trends in data architecture, AI/ML, and cloud technologies. Mention any relevant certifications or courses you've completed that demonstrate your proactive approach to professional development.
