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Enterprise Data Architect | 15+ Years | PAN India

Job Description

Capgemini is seeking a Director level executive for the Enterprise Architect role for Insights and Data (I&D) Global Business Line.

Overall experience: 15+ years of IT experience
 

Primary Skills

•    Strong in Data Architecture and management – DW, Data Lake, Data Governance, MDM
•    Experience in Architecture Consulting and pre-sales on at least 4 assignments.
•    Experience as a Delivery Architect on complex data and analytics engagements on at least 3 engagements
•    Very well familiar with industry business processes, process maps, logical data models
•    Client facing with strong communication and articulation skills
•    Strong understanding of Cloud environments
•    Ability to help customers in setting up foundations of a modern data platform
•    Able to translate business and technical requirements into Architectural components
•    Architecture certification preferred - TOGAF or other Industry acknowledged
•    Should be able to create presentations and drive presentation for CXO level audiences
•    Must be hands-on in owning and shaping deals, writing solutions
•    Must be aware of relevant leading tools and concepts in industry
•    Must be flexible for short-term travel up to 3 months across countries
•    Must be able to define new service offerings and support GTM strategy
•    Experience in Financial Services / Insurance Sector would be a plus

Secondary Skills

1.    Behavioral & Collaboration Skills
a.    Strong verbal and written communication skills 
b.    Ability to work in collaborative, cross-functional, and multi-cultural teams
c.    Interest and Initiative to learn.

2.    Certification: Some certifications in Architecture (eg. Togaf, SAFe, Zachman, IAF, etc), Cloud (AWS, GCP, Azure, Snowflake), Big Data/MPP (Cloudera, Databricks, MongoDB, , Redshift, Synapse, Spark) are must.

Ref:  1781051
Posted on:  Apr 9, 2024
Experience level:  Sr Hires
Contract Type:  Permanent
Location: 

Hyderabad, AP, IN

Department:  Big Data & Analytics

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