Data Architect
PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world. PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe. What do we guarantee? Work format: Remote or in a comfortable office in Lviv - you choose. Development: Personal development plan, mentoring, English and Polish language courses. Stability: Official employment from day one, annual review of salary and career prospects. Corporate culture: Events that unite the team and a space where everyone can be themselves. Join us as a Data Architect / Lead and play a key role in shaping the data foundation behind our next generation of analytics and AI solutions. In this position, you’ll define the architecture vision for our modern data ecosystem, guide a growing team of Data Engineers, and build cloud‑native platforms that unlock enterprise‑wide insights. This is a high‑impact role where you’ll work closely with business and technology leaders, influence strategic decisions, and drive the adoption of advanced analytics and Generative AI across the organization. Responsibilities: Lead & Strategize Lead and mentor Data Engineers, fostering innovation and continuous improvement. Own the data architecture vision aligned with business goals. Partner with executives and stakeholders to turn strategic needs into scalable data solutions. Architect & Build Design and optimize modern data platforms using Azure Data Lake, Databricks, SQL Server, Microsoft Fabric, and NoSQL. Build robust, scalable data pipelines across diverse data sources. Implement strong data quality, governance, and security practices. Support advanced analytics, machine learning, and AI-based solutions. Enable Insights Build solutions that deliver accurate, timely insights for decision-makers. Collaborate on Power BI dashboards and executive reporting. Integrate Generative AI into insight-generation workflows. Qualifications: Bachelor’s degree in Computer Science, Data Engineering, or related field. 4+ years in data engineering, architecture, or analytics roles. Experience leading Data Engineering teams in enterprise settings will be a plus. Strong skills in Azure data services, Databricks, SQL, NoSQL, and Microsoft Fabric. Hands-on Power BI and enterprise reporting experience. Proven ability to build data pipelines and enforce data quality. Excellent communication skills, especially with executive stakeholders. Relevant certifications (Azure Data Engineer, Databricks, Fabric Analytics, etc.) are a plus. Policy statements: https://www.pwc.com/ua/uk/about/privacy.html