Principal Data Architect, Consulting
at Cognizant
London, England, United Kingdom -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 26 Oct, 2024 | Not Specified | 27 Jul, 2024 | N/A | Shaping,Athena,Data Analytics,Snowflake,Dbt,Data Integration,Aws,Data Models,Data Solutions,Strategy Formulation,Non Functional Requirements | No | No |
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Description:
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.
Responsibilities:
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.
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
Analytics & Business Intelligence
Software Engineering
Graduate
Proficient
1
London, United Kingdom