• Job Description

  Req#: 1421251

  At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

  Position Name

  Data Architect
  
  Position Details

  EY’s GDS Assurance Digital team’s mission is to develop, implement and integrate technology solutions that better serve our audit clients and engagement teams. As a member of EY’s core Assurance practice, you’ll develop a deep Audit related technical knowledge and outstanding database, data analytics and programming skills.

  Ever-increasing regulations require audit departments to gather, organize and analyse more data than ever before. Often the data necessary to satisfy these ever-increasing and complex regulations must be collected from a variety of systems and departments throughout an organization. Effectively and efficiently handling the variety and volume of data is often extremely challenging and time consuming for a company.

  EY's GDS Assurance Digital team members work side-by-side with the firm's partners, clients and audit technical subject matter experts to develop and incorporate technology solutions that enhance value-add, improve efficiencies and enable our clients with disruptive and market leading tools supporting Assurance.

  GDS Assurance Digital provides solution architecture, application development, testing and maintenance support to the global Assurance service line both on a pro-active basis and in response to specific requests.

  EY is currently seeking a Sr. Software Engineer to join the GDS Assurance Digital practice in Bangalore, India, to work on various Microsoft technology based projects for customers across the globe.

  Requirements (including experience, skills and additional qualifications)

  • A Bachelor's degree (BE/BTech/MCA) in Computer Science, Engineering, Information Systems or a related field with adequate industry experience.

  Skill requirements:

  • The ideal candidate will have a minimum 10-12 years of experience and proven track record in leading and delivering Azure Data Analytics solutions with Enterprise level organizations. We are seeking someone who can create and deliver a BI vision that is domain agnostic. You will be highly proficient working with business stakeholders and directing project teams and will have direct experience of a range of BI, analytics Tools and Platforms.
  • Have excellent experience and a proven track record architecting enterprise-level data platforms. You will manage your own and your team's performance to deliver high quality, highly perform an solutions to our customer.
  • Experience with design and setup of cloud Datawarehouse
  • Industry experience in operationalization of cloud data lake and its enrichment layers
  • Experience with data governance practices and setup of end to end data management foundation for a large enterprise
  • Hands on knowledge of Azure data lake, ADF, SQL Server, Cosmos DB and other Azure data managed services
  • Azure certification for Solution Architect preferred
  • Conceptual knowledge of data and analytics, such as dimensional modelling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data
  • Strong experience in data modelling for large cross functional data landscape by leverage industry best practices
  • Knowledge of DCAM frameworks and experience in implementing data management capabilities for large enterprises
  • Technology evaluation across vendors and ability to recommend tech stack for data capabilities
  • Strong interpersonal skills and ability to effectively communicate with teams across the entire organization
  • Product centric mindset and business focused outcomes
  • Ability to work with cross functional teams

  Key Responsibilities:

  • Drive data capability prioritization in alignment with business priorities and use cases
  • Implementation of data services for exposing certified data assets for enterprise consumption
  • Drive the definition of conceptual and physical data models for data products
  • Ability to span across multiple platform engineering tracks
  • Ability to run data discovery and work with source system owners to understand the data landscape of the organization across various functional data domains
  • Experience leading a team of Data Engineers / Data Analysts
  • Breakdown business problems and drive solution definition exercise
  • Establish Architectures, Tools, Workflows, that enable fast and efficient use and flow of Data
  • Ensure collaboration with other entities in the company and to ensure seamless interaction of IT systems and data flow
  • Design, develop, implement, and coordinate efficient and effective architectural frameworks, guidelines, policies and procedures for Data Management and Data Flow
  • EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

  EY | Building a better working world

  EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

  Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

  Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

• About the company

  EY provides consulting, assurance, tax and transaction services that help solve our client’s toughest challenges and build a better working world for all.

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