GCP Data Engineer - Senior Manager

Industry/Sector

Technology

Specialism

Data, Analytics & AI

Management Level

Senior Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Craft and convey clear, impactful and engaging messages that tell a holistic story.
• Apply systems thinking to identify underlying problems and/or opportunities.
• Validate outcomes with clients, share alternative perspectives, and act on client feedback.
• Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
• Deepen and evolve your expertise with a focus on staying relevant.
• Initiate open and honest coaching conversations at all levels.
• Make difficult decisions and take action to resolve issues hindering team effectiveness.
• Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Minimum Degree Required Bachelor's DegreeMinimum Year(s) of Experience8 year(s)Certification(s) Required

• GCP Professional Cloud Architect, GCP Data Engineer 
• QuickBase App Builder Certification and/ or QuickBase Expert Builder Certification 

Preferred QualificationsCertification(s) Preferred

Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate

Preferred Knowledge/Skills

Demonstrates in-depth abilities and/or success in one or many of the following areas: 

• Designing and implementing comprehensive data architecture strategies that meet current and future business needs using Google Cloud services; 
• Developing and documenting data models, data flow diagrams, and data architecture guidelines; 
• Assessing that data architecture is compliant with data governance and data security policies; 
• Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions leveraging Google Cloud and Google eco-system solutions; 
• Evaluating and recommending new data technologies and tools to enhance data architecture; 
• Evaluating data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; 
• Developing leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management; 
• Leading the implementation of GCP based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets; 
• Architecting, designing, building and optimizing ETL/ELT pipelines for data ingestion, processing, and storage; 
• Developing and deploying scalable data storage solutions using GCP services;  
• Architecting, designing, and implementing scalable data pipelines and workflows using GCP tools like Dataflow, Dataprep, Data Fusion, BigQuery, and Cloud Composer, ensuring robust data integration, transformation, and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau; 
• Designing, implementing, and managing workflows using low-code/no-code platforms lik