Data Architect

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.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.   The opportunity

CT Assistant Director Data Architect Rank: Assistant Director

Your key responsibilities

Developing large and complex data architecture, composed of models, policies, rules or standards that govern which data is collected and how it is stored, arranged, integrated and put to use in data systems, including the design, build and management of data infrastructure to address business requirements Creating sound project plans with the business by engaging with multidisciplinary teams, and by identifying, managing and mitigating risk Developing relationships across the business to understand data requirements, applies deep technical knowledge of data management to solve business problems in areas where solutions may not currently exist, necessitating new solutions/ways of working/technologies and proactively articulating these to the business Providing innovative and practical designs for the design and integration of new data architecture for the enterprise, applying sophisticated technical capabilities Inspiring others in resolving sophisticated issues in data architecture and solving sophisticated, escalated aspects of a project Working across multidisciplinary teams and with the business to define and delivering analytics solutions that will deliver business value Supervising the progress and the quality of the project Reviewing and developing due diligence to confirm the developed solution align with architectural design Understanding how the end-to-end management vision is aligned to the broader organization strategy and objectives Contributing to data management standards to promote optimization and consistency

Skills and attributes for success To qualify for the role you must have

Solution Architecture & Design - Capability to help clients design solution architecture & requirements for feeding into package definition, solution build, etc. Includes technical system architecture, logical data models, networking models, hardware architecture & requirements. Architectures include: Conceptual IS service, Logical application, Physical application, Conceptual data, Logical data, Physical data, Conceptual platform services, Logical technology, Physical technology, Security, Transition, Architecture roadmap. Data Architecture and Design - Capability to define the models and standards by which data is sourced, stored, distributed and governed within an organization Master, Reference and Metadata Management - Capabilities to develop solutions that define the master data (internal glossary of key data items), the reference data (external glossary of standard data items and values) and metadata (the data that describes the data set) Cloud Computing: Good knowledge of Azure Data Platforms. Understand and configure Azure networks and resources. Should be able to design and implement solutions on Synapse, Data Factory, Databricks, Azure AI Studio, Azure Stream Analytics and other Azure platforms. Data Access Tools: Azure Data Explorer, Azure Stream Analytics, MS SQL Server Management Studio, SQL Developer, TOAD, Mongo DB Compass, Neo4J Aura. Data Modelling Tools: Erwin, Excel, Power Designer, Sparx, Visio Data Governance Tools: Microsoft Purview, Collibra. Distributed Systems: Azure ADLS Gen 2, Databricks, Hadoop, HDFS, Kafka, MapReduce/Hive, Spark, Storm, Zookeeper, Azure Synapse.