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PANAMOURE INDIA PRIVATE LIMITED | Jobs | Urgently Hiring For Data Architect (Gurgaon/Hyderabad) | BigDataKB.com | 09-02-22

Job Location: Hyderabad/Secunderabad

About Us

Panamoure is UK based group with offshore centre in Gurgaon, India. We are known to be the ultimate Business and Technology Change partner for our clients including PE groups and ambitious mid-market businesses.

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Panamoure is a fast paced and dynamic management consultancy delivering Business and Technology change services to the UKs fastest growing companies. Our ability to deliver exceptional quality to our clients has seen us grow rapidly over the last 12 months and we have ambitious plans to scale substantially further moving forward. As part of this growth we are looking to expand both our UK and India team with bright, ambitious and talented individuals that want to learn and grow with the business.

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To know more, please visit https://www.panamoure.com

Role: Data Architect

Years of experience: 5-10 years

Location: Gurgaon, Haryana & Hyderabad

Working Days: Monday to Friday (9am to 6pm)

Experience And Skills

  • 4+ years as a Data Enterprise Architect.
  • Cloud Technical Architecture.
  • 4+ years in Consultative selling and sales enablement.
  • Skilled in leading cloud platform such as AWS, GCP, Azure and few cloud-first data products or solutions.
  • Strong Understanding of technical challenges or opportunities to Data Architecture from Cloud like Network, Data Trust, Cluster Management, Data Pipeline Management.
  • Data warehousing and big data architecture solutions.
  • Leading a team including architects, engineers, quality assurance, and operations professionals
  • Demonstrated understanding of enterprise data warehouse, big data, BI & analytics, content management and data management.
  • 4+ years or more with two or more vendors in any of the following areas including SQL Server, Oracle 11g, MySQL, SQL Data Warehouse Appliance, Oracle Exadata, Netezza, Greenplum, Vertica, Teradata, Aster Data, SAP HANA, Hadoop, SAS, SPSS, Spotfire, Tableau, Qlikview, R, Oracle Endeca, Oracle OBIEE, SAP Business Objects, SAS and other Analytics Vendors with BI components

Roles & Responsiblities:

  • for visualizing and designing an organization’s enterprise data management framework. This

framework describes the processes used to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control, and purge data. Support strategic initiatives to ensure that the organization is adherence to data standards and data management best practices.

 • Lead the design of architectural roadmaps, database, data access and data technology  architectures.

 •  Provide expertise on the overall data eco-systems engineering best practices, standards, architectural approach, and complex technical resolutions. 

  •   Build and maintain a company’s database by identifying structural and installation solutions. Work with database administrators and analysts to secure easy access to company data. Create database solutions, evaluate requirements, and prepare design reports.

 •  Be a data steward across the entire enterprise.

 •  Ensure that the business strategy uses proper technology systems architecture to achieve its goals. 

  • Act as data advisory data advisory and implement projects on premise and on Cloud. Collaborate with industry specialists across organizations, and technology groups to help customers get the most out of Data journey. 
  • Develop and/or optimize the organizations conceptual and logical data system. Examine new data system requirements, deploy, and configure data ingestion, storage, integration, and analytical components and implement data and model migration. 
  • Coordinate with clients, data users and key stakeholders and develop, implement various long-term data architecture objectives.
  •  Document as-is and define design principles, standards, guidelines, and roadmap toward target data architecture.
  • Facilitate the establishment and execution of the roadmap and vision for information delivery and management, including the enterprise data warehouse, big data, BI & analytics, content management and data management. 
  • Lead data architects and data engineers to architect and deliver the solutions that fulfill the Business information needs and align with the information vision and strategy.

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