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Ernst & Young

Global professional services: consulting, assurance, tax

Manager Data Delivery Lead

Engineering LeadershipUpdated on Nov 14
Full-timeBarcelona, SpainNo salary listed

About the Job

Requirements

  • At least 6 years of experience designing and defining data architectures in cloud environments, especially Microsoft Azure and Microsoft Fabric.
  • Experience designing scalable, secure, and governed data platforms supporting Data, Analytics, and AI use cases.
  • Experience with Lakehouse architectures, data integration and ingestion, batch and streaming processing, and data modeling and transformation.
  • Advanced knowledge of Microsoft Fabric components including OneLake, Data Factory, Data Engineering, Data Warehouse, and Power BI, as well as Azure ecosystem services.
  • End-to-end technical vision and experience defining architecture, security, governance, data quality, and interoperability patterns and standards, with the ability to make technology decisions.
  • Experience designing solutions based on functional and non-functional requirements.
  • University education in STEM areas such as engineering, computer science, mathematics, statistics, or data science.
  • Between 7 and 10 years of experience in data and advanced analytics projects, including at least 3–5 years in management or leadership functions.
  • Experience leading end-to-end delivery of complex Azure projects, practical mastery of Databricks and Power BI, and ability to design modern, secure, and scalable data architectures.
  • Experience implementing data governance, including policies, standards, quality, catalog, and lineage.
  • Leadership skills to coordinate multidisciplinary teams and communicate with executive-level clients and business and technology stakeholders.
  • Experience with Agile methodologies, including Scrum, and coordinating presales activities and client relationships.
  • Fluent English and ability to communicate internationally.

Responsibilities

  • Lead data transformation projects for leading clients.
  • Technically lead Data Engineering and Analytics teams.
  • Work with architects, business teams, and other stakeholders.
  • Translate business needs into technology architectures.
  • Act as a technical reference and trusted client interlocutor.
  • Coordinate presales activities and client relationships.

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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