Data Integration Practice Lead
Capgemini
Hyderabad, IN
1d ago

Job Description

The person in this role will be responsible to develop and lead the Data Integration ETL Centre of Excellence and should have deep technical knowledge on ETL tools and technologies and possess a strong SQL background.

The person should be proficient in application development and support of ETL tools using Informatica PowerCenter and possesses a good understanding of Informatica Data Quality and Informatica Cloud (IICS) Development.

The person will be primarily responsible for implementing ETL solutions across multiple business unit and will provide hands-on technical leadership to the Data Integration centre of excellence and lead a virtual team.

Responsibilities

  • Mentor regional cluster leads and practice members, and provide industry thought leadership through conferences, articles, videos, and social media.
  • Drive services product roadmap for the Data Management practice and focus on harvesting and developing new intellectual property to accelerate services in newer areas.
  • Manage and participate directly in the development of services packages, reference architectures, scripts, and templates.
  • Coordinate regional field enablement with regional Delivery Unit leadership and work closely with partner organization on external enablement activities.
  • Primary Skills

  • Demonstrating a track record of success at leading pursuits and delivering complex data Integration and Advanced Analytics solutions.
  • Demonstrated track record of leading CoE activities which includes pre-sales support, assets & accelerator development, technology innovation, training enablement, demand fulfillment in related technologies, CoE members career progression & talent management
  • Experience with researching, developing and documenting ETL solution alternatives, approaches and recommendations that address approved project scope and business requirements, align with IT’s Target State Architecture and Technology Roadmap, and leverage IT investments across the enterprise.
  • Having significant Client facing experience across multiple industries and lines of business focussing on leveraging all data and use cutting edge cognitive technologies to successfully address Client’s high priority business problems.
  • Demonstrating strong background to build trusted relationship and work collaboratively in a matrix organization across multiple geographies and business units.
  • Experience with interacting and gaining respect from Client CIO, CEO, SVP, and their teams.
  • Combine business needs, vendor roadmaps and technology trends to develop Enterprise Data Management platforms and product roadmaps and future state architecture diagrams for Customers based on their roadmap.
  • Also developing a strategy that puts offerings and talent ahead of the market specifically in Enterprise Data Management, Data Virtualization, Data strategy and Data Archival.

    Secondary Skills

  • Knowledge of optimal design of database environments, analyzing complex distributed production deployments, and making recommendations to optimize performance.
  • Familiarity with TCO, ROI and Value Models to help Customers understand the cost / benefit equation associated with Data Analytic Cloud solutions.
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