Data Architect Manager

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GDS Assurance Digital

Position Name - Data Architect -Manager

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 & Data 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 Data Architect Manager to join the GDS Assurance Digital practice in Bangalore/Noida/Hyderabad, India, to work on various world class data solutions for customers across the globe.

Requirements (including experience, skills and additional qualifications)

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

Technical skills requirements:

• Overall, 9 to 14 Yrs. of IT experience
• Strong expertise in formulating data strategies and data architecture to align with business objectives
• Hands-on expertise in architecting and implementing end-to-end data lifecycle activities like Data Ingestion, Data Transformation, Data modelling and Data consumption
• Technical hands-on Skills:
  • Data on Cloud: Azure: ADF, DataBricks , Azure SQL, Azure Cosmos DB, Synapse, MS Fabric, Service Bus & Event hub
  • Data Management: Data Governance (Azure Purview) | Data Quality | Master Data Management | Data Security – Authentication & Authorization | Data Virtualization
  • Big Data : Hadoop ecosystem tools, Kafka, Spark, Hive
  • Other Skills : Data Visualization (Tableau, Power BI & SAP BO) | Scripting language - Python & Shell

Analytical/Decision Making Responsibilities:

• An ability to quickly understand complex concepts and use technology to support data modeling, analysis, visualization or process automation
• Selects appropriately from applicable standards, methods, tools and applications and uses accordingly
• Ability to work within a multi-disciplinary team structure, but also independently
• Demonstrates analytical and systematic approach to problem solving
• Communicates fluently orally and in writing and can present complex technical information to both technical and non-technical audiences
• Able to plan, schedule and monitor work activities in order to meet time and quality targets
• Able to absorb rapidly new technical information, business acumen, and apply it effectively
• Ability to work in a team environment with strong customer focus, good listening, negotiation and problem-resolution skills

Additional skills requirements:

• The expectations are that a Senior will be able to maintain long-term client relationships and network and cultivate business development opportunities
• Provide high quality client services by directing daily progress of engagement work, informing engagement manager of engagement status, and managing staff performance.
• Must have presentation skills ' ability to create PowerPoint deck to communicate solution architecture to various stakeholders.
• Should have understanding and experience of software development best practices
• Excellent business communication, Consulting, Quality process skills
• Must be a team player

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