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Ernst & Young

Global professional services: consulting, assurance, tax

Data Architect with MS Fabric

Data EngineeringUpdated on Nov 14
Full-timeNo salary listed

About the Job

Requirements

  • C1-level written and spoken English.
  • At least 5 years of experience in a similar role delivering enterprise-class data solutions.
  • Expert skills in Power BI, Microsoft Fabric, Power Platform, and Microsoft Azure, including Azure Data Factory ETL pipelines, Synapse/Analysis Services, database optimization, and cost optimization.
  • Hands-on experience with NoSQL databases, preferably document-based databases such as MongoDB, and system integration.
  • Strong understanding of AI concepts, data quality methodologies, and cross-technology integration.
  • Ability to translate complex business needs into technical requirements for diverse stakeholders, including C-level stakeholders.

Responsibilities

  • Design and enhance data platforms, including SQL and NoSQL databases and Azure-based ETL processes using Azure Data Factory, ensuring performance, scalability, and data quality.
  • Integrate diverse data sources and products to maintain a seamless, reliable, and well-governed data ecosystem.
  • Develop Power BI reports and automate business processes using Power Platform and AI-driven solutions.
  • Analyze complex business requirements, including C-level requirements, and translate them into clear technical specifications.
  • Lead and mentor a team of data engineers and oversee end-to-end delivery of data solutions.
  • Act as a subject matter expert for business intelligence issues in large projects.
  • Collaborate with data engineers, product and project managers, and partners internationally.

Desired Qualifications

  • Microsoft certifications such as PL-300, DP-600, DP-700, or Azure Data Engineer Associate, and experience guiding data engineering teams.
  • Experience with Agile methodologies, including Scrum or Kanban, GitHub, and cross-platform business intelligence tools such as Tableau, Qlik Sense, SAP BusinessObjects, Cognos, or OBIEE.
  • Proficiency in additional cloud platforms such as AWS or Google Cloud Platform, major relational database management systems such as Oracle, DB2, or Teradata, and data lake architectures.
  • Hands-on experience with real-time data processing and data warehousing or aggregation, and familiarity with FinOps principles.
  • Understanding of Tax and Payroll systems and the ability to integrate diverse technologies effectively.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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