Data Architect (Hybrid)
Nicosia, CY, 1060
EY
EY provides consulting, assurance, tax and transaction services that help solve our client’s toughest challenges and build a better working world for all.At EY Consulting Service Line, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming. And while we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can.
The opportunity
Our EY Consulting ambition is to become the world’s leading transformation consultants, trusted to help our clients generate long-term value. We’re building world-class capabilities in business, technology and people consulting to help us deliver on EY’s purpose of building a better working world — our firm’s broader ambition to become the world’s most trusted, distinctive professional services organization.
Our clients are at the heart of our new strategy. We’re focused on solving the key issues of our client buyers, building deeper relationships, and making a greater impact. We’re introducing a new go-to-market narrative — Transformation Realized™ — to help us harness the core drivers of transformation that will create long-term value for our clients.
To achieve this, we are seeking for Data Architect to join our Transformation Realized™ Consulting practice to support our clients in defining and rolling out the right data architecture, data platforms and infrastructure that support their needs, implement, and maintain automated data pipelines, and infuse data through business intelligence and analytics. Our team is part of EY’s Central, Eastern and Southeastern Europe & Central Asia (CESA) cluster, delivering market leading services to organizations across industries in Cyprus and internationally.
The transformation imperative is urgent, challenging and opportunity-rich, interested to join us?
Key Responsibilities
- Define, guide and advise clients in developing data strategies
- Design systems and solutions leveraging cloud data components
- Oversee the design of the data architecture and the technical architecture for the legacy and modern data platforms, including data integration, data modelling, data transformation, data warehousing and data lakehouse
- Define and design processes to promote a scalable, governed analytics ecosystem
- Design, build and orchestrate data pipelines from multiple sources into an enterprise data lake
- Evaluate tools and components necessary for optimal data management (data integration, data storage, data quality, data governance, data visualization and advanced analytics)
- Define and estimate scope of work required for the implementation of a data architecture to meet business requirements
- Conduct performance tuning and optimization of data analytics solutions to ensure efficient processing and query performance
- Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions. Monitor data processing efficiency and propose solutions for improvements
- Collaborate with cross-functional teams to ensure seamless integration of data analytics solutions with existing systems and processes
Skills and Attributes for Success
- Bachelor’s and/or master's degree in computer science, engineering, mathematics, or any other relevant subject
- Proven experience as a Data Architect or a similar role
- Cloud Platform Experience (GCP preferrable)
- Excellent comprehension on cloud security capabilities and supporting multiple personas in a cloud platform (GCP preferrable)
- Good understanding of the different data architecture patterns (e.g., Data Lake, Data Mesh, Data Warehouse, Data Lakehouse)
- Solid understanding of data modelling, ETL processes, and data integration techniques
- Ability to work with a wide variety of data types (i.e. structured and unstructured), extracting and integrating data from modern and legacy data platforms
- Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment
It will be a plus if you have
- Strong business understanding of the financial sector (Insurance or Banking)
- You have experience with lean/agile software development
What working at EY offers
EY offers an attractive remuneration package for rewarding both personal and team performance. We are committed to be an inclusive employer and are happy to consider flexible working arrangements. In addition, but not limited to our benefits include:
- 13th salary and yearly bonus
- Provident Fund
- Private Medical and Life Insurance
- Flexible working arrangements (hybrid work and flexible work schedule)
- Friday afternoon off
- EY Tech MBA and EY MSc in Business Analytics
- EY Badges - digital learning certificates
- Mobility programs (if interested to work abroad)
- Paid Sick Leave
- Paid Paternity Leave
- Yearly wellbeing days off
- Maternity, Wedding and New Baby Gifts
- EY Employee Assistance Program (EAP) (counselling, legal and financial consultation services)
About EY
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.
#betterworkingworld
If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
The exceptional EY experience. It’s yours to build.
Apply Now.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Banking Business Analytics Business Intelligence Computer Science Consulting Data Analytics Data governance Data management Data pipelines Data quality Data visualization Data warehouse Data Warehousing Engineering ETL GCP Mathematics Pipelines Security
Perks/benefits: Career development Flex hours Health care Medical leave Parental leave Salary bonus
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