Principal Data Architect, Consulting

at  Cognizant

London, England, United Kingdom -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate26 Oct, 2024Not Specified27 Jul, 2024N/AShaping,Athena,Data Analytics,Snowflake,Dbt,Data Integration,Aws,Data Models,Data Solutions,Strategy Formulation,Non Functional RequirementsNoNo
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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