Enterprise Data Architect | 15+ Years | PAN India
Hyderabad, AP, IN
Applications have closed
Capgemini
A global leader in consulting, technology services and digital transformation, we offer an array of integrated services combining technology with deep sector expertise.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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Big Data Consulting Databricks Data governance GCP MongoDB MPP Redshift Snowflake Spark TOGAF
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