Data Engineering Architect
Ernst and Young2 months ago
Timişoara, RomaniaStaff+
Responsibilities
- Define the vision, roadmap, and priorities for EY Romania’s data platform and analytics services.
- Lead multiple data delivery engagements end-to-end, including quality, risk management, commercial success, and client satisfaction.
- Lead, grow, and mentor data architecture and engineering teams.
- Design and architect scalable, secure, and high-performance data platforms using Databricks and cloud-native technologies.
- Lead modernization of enterprise data ecosystems covering ingestion, transformation, storage, analytics, and governance.
- Define and implement Databricks lakehouse architectures for analytics, BI, AI/ML, and regulatory reporting.
- Develop data strategies, governance frameworks, operating models, and enterprise data management practices.
- Evaluate data platforms and tools to improve data maturity, performance, scalability, cost efficiency, reliability, and security.
- Advise clients on migration from legacy warehouses and fragmented platforms to cloud-based lakehouse architectures.
- Support business development through solution shaping, proposal development, client presentations, and opportunity identification.
Requirements
- 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, including at least 5 years in a senior or lead role.
- Strong experience designing and delivering modern cloud-based data platforms with hands-on Databricks expertise.
- Proficiency with SQL, Python, Spark, PySpark, and orchestration or pipeline development tools.
- Strong understanding of Databricks Lakehouse architecture, Delta Lake, notebooks, jobs, workflows, cluster management, and performance optimization.
- Experience with Microsoft Azure, AWS, or Google Cloud and related data services.
- 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.
- Excellent communication, collaboration, problem-solving, analytical, and client advisory skills.
- Full professional proficiency in written and spoken English and demonstrated professional integrity.
- Databricks or cloud certifications are preferred, including Databricks Certified Data Engineer or Solution Architect certifications.
- Preferred experience includes Unity Catalog, MLflow, Delta Live Tables, Databricks Workflows, Kafka, Spark Structured Streaming, event-driven architectures, AI/ML use cases, Power BI, Tableau, or Looker.
Benefits
- Flexible work environment; the posting is marked hybrid.
- Future-focused skills development, technology-enabled solutions, and exposure to diverse international client projects.
- Additional vacation days when public holidays fall on a weekend.
- EY community activities, employee discounts, perks, medical coverage, and Bookster library access.
- Medical subscription for employees and family members.
- Life and accident insurance.
- Employee Assistance Program with confidential short-term counseling services.
Tech Stack
Categories
Data Engineering
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.