Data Architect & Engineering Lead

A career in our Tech & Data practice will provide you with the opportunity to help clients seize essential advantages by working alongside business leaders to solve their toughest problems and capture their greatest opportunities.

The role Responsibilities As a Data Architect & Engineering Lead, you will coordinate end-to-end data engineering projects from architecture design to productive delivery. Your main responsibilities will include, but are not limited to:

• Design and implement cloud-native data architectures in all layers, applying best practices (CI/CD, testing, data quality, observability), working with DevOps on automation/IaC
• Lead hands-on development of data pipelines and distributed workflows
• Architect and optimise Lakehouse/Data Warehouse solutions on Azure and Databricks, translating business and analytical requirements into scalable high-performance data models
• Own technical delivery: design, estimation, governance, performance tuning, and support pre-sales and client discussions, whilst providing technical leadership and mentorship, reviewing codes and driving engineering excellence.

Your profile

• BSc or MSc in Computer Science, Software Engineering or a related technical field
• At least 6 years of experience in cloud data engineering, with Azure and/or Databricks
• Proven experience building large-scale data platforms and leading technical teams
• Proficiency with Python/PySpark, SQL (T-SQL/KQL), Azure (Data Factory, ADLS, Fabric) and Databricks
• Solid understanding of data architecture (Lambda, Medallion/Lakehouse, streaming), infrastructure design, DevOps and data governance/compliance, including Microsoft Purview
• Fluent in both written and spoken English and Portuguese.

We believe that success lies in people and in your willingness to push boundaries. If this resonates with you, you've found your place. It's time to bring your expertise to the 'Team PwC' and drive impactful change.

We spark curiosity so you can do inspiring work. Grow here. Go further.