Data Engineering Architect

The opportunity

You will be part of a high-performing team that works together cohesively and effectively to achieve our and our clients’ goals and objectives.

Your key responsibilities

• Contribute to the growth of the Data & AI Practice for EY Romania, defining the vision, roadmap, and priorities for data platform and analytics services in alignment with EY global strategies and local market needs
• Provide overall leadership for data delivery engagements, overseeing multiple projects end-to-end, ensuring quality, risk management, commercial success, and client satisfaction
• Lead, grow, and mentor the data architecture and engineering teams, shaping skills, career development, ways of working, and a strong high-performance culture
• Actively contribute to business development, including solution shaping, proposal development, client presentations, and identification of new data and analytics opportunities with existing and prospective clients
• Design and architect scalable, secure, and high-performance modern data platforms using Databricks and cloud-native technologies
• Lead the implementation and modernization of enterprise data ecosystems, including data ingestion, transformation, storage, analytics, and governance capabilities
• Define and implement data lakehouse architectures leveraging Databricks to support advanced analytics, BI, AI/ML, and regulatory reporting use cases
• Collaborate with cross-functional teams to define data strategies, governance frameworks, operating models, and best practices for enterprise data management
• Evaluate and recommend data platforms, tools, and capabilities to enhance client data maturity, platform performance, and long-term scalability
• Ensure data solutions are optimized for performance, reliability, cost efficiency, and security, implementing continuous improvements as needed
• Support the integration of data engineering, analytics, and machine learning workloads within Databricks environments
• Advise clients on data modernization journeys, including migration from legacy data warehouses and fragmented data platforms to cloud-based lakehouse architectures 

Skills and attributes for success

• Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Data Science, or a related field
• Minimum of 8 years of experience in data architecture, data engineering, or analytics platform design, with at least 5 years in a senior or lead role
• Strong experience designing and delivering modern data platforms on cloud environments, with hands-on expertise in Databricks as a core technology
• Proficiency in data engineering and transformation technologies such as SQL, Python, Spark, PySpark, and orchestration / pipeline development tools
• Strong understanding of Databricks Lakehouse architecture, Delta Lake, notebooks, jobs, workflows, cluster management, and performance optimization
• Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud, including related data services and ecosystem integration
• Solid understanding of data modeling, ETL/ELT design patterns, data warehousing, data lakes, and large-scale distributed data processing
• Experience with data governance, data quality, metadata management, lineage, and security controls across enterprise data platforms
• Excellent communication and collaboration skills; ability to work effectively in a team-oriented environment; strong problem-solving and analytical abilities
• Full professional proficiency in English (written and spoken) and demonstrated integrity in a professional environment

Ideally you`ll also

• Hold databricks-related certifications such as Databricks Certified Data Engineer Associate / Professional or Databricks Certified Solution Architect
• Possess certifications on cloud platforms such as Microsoft Azure, AWS, or Google Cloud, especially in data engineering or analytics specializations
• Demonstrate experience with Unity Catalog, MLflow, Delta Live Tables, Databricks Workflows, and other advanced Databricks capabilities
• Have exposure to real-time / streaming data technologies, such as Kafka, Spark Structured Streaming, or event-driven architectures
• Showcase experience supporting AI/ML use cases on top of Databricks platforms
• Be familiar with BI and visualization tools such as Power BI, Tableau, or Looker

What we look for  

More than anything, we’re interested in people with the right attitude for the job! That’s naturally innovative people that feed on the energy of a thriving global team. You’ll need a balance of technical and analytical skills, a creative approach to work and strong communication skills. Put simply, if you’ve got big ideas on how we can do better, as well as the confidence to express them, this role is for you.

What we offer you

• We will fuel your ambition and potential with future-focused skills development that equips you with state-of-the-art methodologies and technology-enabled solutions
• At EY, you`ll learn A LOT through experience, on a variety of projects for a diverse range of BIG clients
• Get extra vacation days when public holidays fall on a weekend.
• Join an EY Community and practice your hobby with your colleagues off-work
• Get plenty of discounts, perks and medical coverage
• Bookster library
• Medical subscription for employees and family members (wife/husband/children)
• Life & accident insurance
• EAP- Employee Assistance Program - Short term confidential counselling services for you and those who live with you

At EY, we`ll develop you with future-focused skills and equip you with world-class experiences. We`ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

Are you ready to shape your future with confidence? Apply today.  

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