Data Architecture Manager | Microsoft Azure

Description

Accenture, recognized as a Great Place To Work®, is a global leader in professional services that helps major enterprises, public administrations, and other organizations worldwide develop their digital core, optimize operations, accelerate revenue growth, and improve citizen services—delivering tangible value at speed and scale. We are seeking a Data Architecture Manager with experience in designing, implementing, and evolving large-scale enterprise data platforms on Microsoft Azure. The selected candidate will serve as the architectural and delivery authority for business and technology stakeholders, leading complex transformation initiatives across multiple countries, teams, and delivery centers. This role combines data architecture, technical leadership, stakeholder management, delivery planning, and international program coordination. This position is based in Seville under a hybrid work model—working some days remotely from home and others onsite at the office, where you can build meaningful synergies with your team. Residency in Spain and valid Spanish work authorization are mandatory. Responsibilities* * Design enterprise data architectures on Microsoft Azure covering ingestion, transformation, storage, processing, analytics, visualization, security, data quality, and governance—using Azure Databricks, Azure Synapse Analytics, ADLS Gen2, Azure Data Factory, Delta Lake, Power BI, SQL, and PySpark. * Lead the definition and execution of data transformation programs with multiple concurrent workstreams and releases, coordinating dependencies, estimates, risks, quality controls, and delivery schedules across distributed teams in different countries and time zones. * Govern architectural decisions and technical standards for the platform—including Lakehouse and Data Warehouse patterns, data modeling, continuous integration, continuous deployment, Azure DevOps, FinOps, security, traceability, governance, and data quality. * Serve as the primary client interface for architecture and delivery decisions—translating business needs into technical solutions, presenting alternatives to executive stakeholders, and defining the platform’s evolution roadmap. Key Duties* * Define target data platform architectures and evolution roadmaps based on Microsoft Azure—establishing principles, patterns, technological components, integration mechanisms, and adoption criteria. * Design ingestion and transformation pipelines using Azure Data Factory, Azure Databricks, PySpark, SQL, and Delta Lake—ensuring seamless integration with Azure Synapse Analytics, ADLS Gen2, and Power BI. * Establish technical governance models for architecture, metadata management, data quality, security, access control, traceability, observability, FinOps, and regulatory compliance. * Lead international, multidisciplinary teams composed of architects, data engineers, analysts, and client stakeholders—coordinating activities across markets, delivery centers, and time zones. * Manage multiple concurrent workstreams and releases—including planning, estimation, prioritization, dependency tracking, risk control, and deliverable validation. * Implement CI/CD practices via Azure DevOps to automate validation, versioning, integration, deployment, and monitoring of data components. * Ensure alignment between functional, regulatory, and operational requirements and their implementation in the architecture and data products. * Prepare and present architecture decisions, progress updates, risks, dependencies, and recommendations to technical stakeholders, business leaders, and executive committees. * Define reusable standards and mentor data architects and engineers on architectural patterns, engineering best practices, and quality criteria. * Evaluate the integration of Data Products, Data Mesh, generative AI, and RAG systems into the platform’s evolution. Qualifications Essential Requirements* * Minimum 10 years of professional experience in Data & Analytics programs. * Professional experience leading enterprise data transformation initiatives on Microsoft Azure. * Professional experience designing enterprise data architectures covering ingestion, transformation, storage, processing, analytics, security, data quality, and governance. * Professional experience with Azure Databricks. * Professional experience with Azure Synapse Analytics. * Professional experience with Azure Data Factory. * Professional experience with Azure Data Lake Storage Gen2. * Professional experience developing data transformation processes using SQL and PySpark. * Professional experience designing Data Warehouse and Lakehouse architectures with Delta Lake. * Professional experience implementing CI/CD processes using Azure DevOps. * Professional experience in Data Governance and Data Quality. * Professional experience managing international projects with multiple concurrent workstreams and releases. * Professional experience coordinating distributed, multidisciplinary teams comprising architects, engineers, analysts, and client stakeholders. * Professional experience in regulated enterprise environments—such as insurance, financial services, telecommunications, utilities, or sectors with equivalent security and compliance requirements. * Professional experience acting as the client interface for architecture, planning, and delivery decisions. * Professional experience communicating technical decisions, risks, dependencies, and roadmaps to executive stakeholders. * Residency in Spain and valid Spanish work authorization. * Demonstrated knowledge and experience applying generative AI and AI tools relevant to this role—in line with Accenture’s commitment to responsible and effective AI use. Desirable Requirements* * Microsoft Certified: Azure Solutions Architect Expert certification (exam AZ-305) or equivalent active certification. * Microsoft Certified: Azure Data Engineer Associate certification (exam DP-203) or equivalent active certification. * Microsoft Certified: Fabric Analytics Engineer Associate certification (exam DP-600) or equivalent active certification. * Databricks professional certification in Data Engineering, Data Analytics, or platform architecture. * Professional experience designing modern Data & AI architectures. * Professional experience with generative AI and Retrieval-Augmented Generation (RAG) architectures. * Professional experience defining and implementing Data Products or Data Mesh models. * Professional experience with Allianz or other international insurance-sector organizations. * Professional experience applying FinOps practices to enterprise data platforms on Microsoft Azure. * Professional experience mentoring data architects and data engineers. Benefits and Compensation At Accenture—a company recognized as a Great Place To Work®—we champion a hybrid work model that, powered by technology and our facilities, enables us to maintain the essential human connection needed to collaborate effectively with our teams and clients. This connection sustains our inclusive and diverse culture—and according to Refinitiv, makes Accenture the most diverse company in the world. Additionally, we offer other benefits such as: * Health, life, and accident insurance * Medical services and wellness programs * Flexible compensation program and stock purchase plan * Flexibility programs (flexible hours, additional leave days, vacation scheduling, etc.) * Personalized learning and development path * Sustainability initiatives and Accenture Foundation programs * Employee networks promoting diversity * Other benefits: Bankinter office with special conditions and profit-sharing