Job Description

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.
CT Senior Data Architect

EY is a global leader in assurance, tax, transaction and advisory services. Technology
is at the heart of what we do and deliver at EY. Technology solutions are integrated in the
client services we deliver and are key to our innovation as an organization.
Fueled by strategic investment in technology and innovation, Client Technology
seeks to drive growth opportunities and solve complex business problems for our clients
through building a robust platform for business and powerful product engine that are vital
to innovation at scale. As part of Client Technology, you’ll work with technologists and
business experts, blending EY’s deep industry knowledge and innovative ideas with our
platforms, capabilities, and technical expertise. As a catalyst for change and growth, you’ll
be at the forefront of integrating emerging technologies from AI to Data Analytics into every
corner of what we do at EY. That means more growth for you, exciting learning
opportunities, career choices, and the chance to make a real impact.
The selected candidate

• Develops 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

• Creates sound project plans with the business by engaging with multidisciplinary

teams, and by identifying, managing and mitigating risk

• Develops 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

Your key responsibilities include

• Providing innovative and practical designs for the design and integration of new data

architecture for the enterprise, applying advanced technical capabilities

• Creating, maintaining and monitoring on-premise or cloud infrastructure, such as the

design of end-to-end data platforms, development and operations of cloud

• management and design of distributed systems, handling structured and unstructured data
• Guiding others in resolving complex issues in data architecture and solving complex, escalated aspects of a project
• Designing solutions that will catalog, organize and store an organization's internal unstructured data
• Working across multidisciplinary teams and with the business to define and delivering analytics solutions that will deliver business value
• Monitoring the progress and the quality of the project
• Reviewing and developing due diligence to confirm the developed solution complies with architectural design
• Understanding how the end-to-end management vision is aligned to the broaderorganization strategy and objectives
• Contributing to data management standards to promote optimization and consistency

Skills and attributes for success

• 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. Capability to define the models and standards by

which data is sourced, stored, distributed and governed within an organization

• Data Architecture and Design - Capability to define the models and standards by
• which data is sourced, stored, distributed and governed within an organization
• Enterprise Content Management - Capability to define solutions that will catalog,

organize and store an organization's internal unstructured information, e.g. word documents, emails etc.

• Master, Reference and Meta Data 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 meta data (the data that describes the data set)

• Vendor Package and Partner Selection - Capability to identify software packages and

solutions that could meet client solution requirements and develop requests for proposal (RFPs) from these vendors. Assist clients in the evaluation of the resulting proposals, including the package capabilities and fit to the requirements (business and technology), vendor proposals for pricing and support Advanced understanding of some of the following tools and technologies, and how to apply them to solve business problems

• Cloud Computing: Accenture cloud platform, Amazon Web Services, Azure, GCP Cloud
• Architecture, Google cloud, IBM Infosphere Information Server, IBM Infosphere
• Warehouse Edition, Mulesoft CloudHub, Oracle Cloud, Red Hat Cloud
• Data Access Tools: Azure Data Explorer, Azure Stream Analytics, MS SQL Server
• Management Studio, SQL Developer, TOAD
  • Data Modelling Tools: Erwin, Excel, Power Designer, Sparx, Visio
  • Distributed Systems: Azure ADLS Gen 2, Databricks, Hadoop, HDFS, Kafka,
• MapReduce/Hive, Spark, Storm, Zookeeper
  • Enterprise Architecture Tools: Spark Enterprise Architect
  • Graph Databases: AWS DynamoDB, Azure Cosmos, DataStax Enterprise Graph, IBM Graph, InfiniteGraph, Neo4j, Teradata Aster, Titan
  • Hadoop Distributions: Azure Databricks, Cloudera, Hortonworks, MAPR In Memory Databases: SAP HANA
• NoSQL Columnar Stores: Accumulo, AWS RedShift, Cassandra, Druid, HBase, Vertica
  • NoSQL Document Stores: Apache CouchDB, ArangoDB, Clusterpoint, Couchbase,
• DocumentDB, Elastics Search, IBM Domino, MarkLogic, MongoDB, OrientDB, Qizx, RethinkDB, Sharepoint
  • NoSQL Key Value Pair Data Stores: Aerospike, DovetailDB, Dynamo, Dynomite, Flare,
• Hyperdex, Keyspace, MotionDb, Oracle NoSQL Database, Quasardb, RAMCloud, Riak,
• SchemaFree, SubRecord, Voldemort
• Relational MMP Databases: Netezza, Teredata
• Relational SMP Databases: Azure SQL PaaS, IBM DB2, MySQL, Oracle, PostgreSQL, SQL Server

Education

• M.S. in Actuarial, Behavior Economics, Computer Science, Data Analytics, Data

Science, Econometrics, Engineering, IT, Cyber Security, or related field preferred What we look for

• Strong analytical skills and problem-solving ability

A self-starter, independent-thinker, curious and creative person with ambition and passion

• Excellent inter-personal, communication, collaboration, and presentation skills Customer focused
• Excellent time management skills

Positive and constructive minded Takes responsibility for continuous self-learning Takes the lead and makes decisions in critical times and tough circumstances ttention to detail High levels of integrity and honesty What working at EY offers
We offer a competitive remuneration package where you’ll be rewarded for your
individual and team performance. Our comprehensive Total Rewards package includes
support for flexible working and career development, and with FlexEY you can select
benefits that suit your needs, covering holidays, health and well-being, insurance, savings
and a wide range of discounts, offers and promotions. Plus, we offer:
Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you
EY is committed to being an inclusive employer and we are happy to consider flexible
working arrangements. We strive to achieve the right balance for our people, enabling us to
deliver excellent client service whilst allowing you to build your career without sacrificing
your personal priorities.
EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.