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Data Architect

Responsibilities

 

  • Understand the existing landscape, client capabilities and requirements and translate them into data solutions that meet the desired performance, scalability, and availability needs of the customer.
  • Lead teams in designing and developing data solutions configurations as per the proposed architecture.
  • Recommend approaches for solving development and integration problems within data warehouse and business intelligence solutions.
  • Provide strategy direction and design implementation roadmaps.
  • Be the go-to person for any architecture, design, and development questions.
  • Very strong in data technologies
  • Identify and adopt new technologies & methodologies to increase performance, automation, and scalability.
  • Support the business development activities; shape and design solution architectures for a proposal; attending client meetings with the sales team.

 

Experience and Qualifications

 

  • Primary Skills
    • 15+ Years Experience in Data Engagements, especially leading data strategy, roadmap and implementation
    • Architecture: Enterprise Data Strategy & alignment to Business Strategy, Transformation Projects, various data and warehouse architecture models, Information flow, Integration/interfacing models/approach, Business Information Models, Logical Data Models, Canonical models, Data Life Cycle Management, Reporting (Analytical, Compliance, Regulatory, Models)
    • Banking Experience and Domain Knowledge is must
    • Data Migration: Strategizing, planning, costing, execution, data retention/archival and disposal.
    • Master Data Management: Strategy & Execution, Multi-domain. Tools: Informatica MDM, Stibo PIM, Talend Data fabric
    • Data Governance: Data/Information governance capability Assessment (as-is, to-be), Framework design, models, roadmap & Execution
    • Architecture Tools: PowerDesigner, ArchiMate, Toad, ERWin
    • Design Methodologies: Normalized/De-normalized designs, ER-Models, Star schema models, relational models, Hierarchical models, Inmon and Kimball methodologies
    • PostGres DB, Oracle, SQL Server, DB2, Teradata, Hive, Pig, Impala, MongoDB, Cassandra, HBase, Snowflake
  • Additional Skills
    • Programming & GUI: MS SQL, PL/SQL, NoSQL, Shell Scripting, VBA, T-SQL, DAX, MS SSRS, Oracle Forms (6i, 9i & 10g), Intellimatch, MS Access
    • RDBMS: Oracle 9i/10g (SQL,PL/SQL), MS SQL Server 2008/ 2012/2014, Oracle 9i AS/10g
    • Web/Cloud tools: Site Core, Amazon AWS, WordPress, Google Analytics/GTM reporting
    • Management Tools: MS Project, MS Office (Access, Excel, Word, PPT), JIRA, rLean
    • TOGAF for Architecture, DAMA – DMBoK.
Ref. code:  71378
Posted on:  Sep 6, 2024
Experience Level:  Experienced Professionals
Contract Type:  Permanent
Location: 

Singapore, SG

Brand:  Capgemini
Professional Community:  Data & AI

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