Cloud Data & Analytics Engineer - Senior Manager Save for Later Remove job
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 Degree
Minimum Year(s) of Experience
8 year(s)
Preferred Qualifications
Certification(s) Preferred
Certification in one of the following cloud platform providers - AWS/Azure/GCP/Snowflake/Databricks
Preferred Knowledge/Skills
Demonstrates in-depth level abilities with, and/or a proven record of success directing efforts in the following areas:
- Lead technology workstreams within larger projects, managing client expectations and identifying opportunities for additional engagement;
- Assess client requirements and integrate leading-edge technology solutions and PwC leading practices into project delivery;
- Enable high-quality delivery by conducting thorough quality assurance checks specific to technology implementations;
- Manage workstream financials, ensuring alignment with project objectives and efficient delivery of Statements of Work (SOW);
- Build and maintain client relationships to identify technological challenges and propose effective solutions;
- Apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures;
- Prioritize and handle multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment;
- Coach and collaborate with associates who assist with this work, including providing coaching, feedback and guidance on work performance;
- Contribute to the growth and profitability of the practice through innovative technology solutions and strategic initiatives;
- Engage in pre-sales activities, collaborating with clients and internal teams to validate technology requirements and develop solution architectures; and,
- Assist in creating proposals, ensuring comprehensive and contractually sound Statements of Work (SOW).
Demonstrates in-depth abilities and/or success in the following areas:
- Demonstrates technical proficiency with Azure, Azure Databricks, Azure Data Factory, Azure Fabric, Spark, Python/SQL
- Provide technical leadership within specific technology domains, contributing to the development of frameworks and industry standard practices;
- Enhance PwC’s intellectual property related to technology implementations, promoting its use across delivery teams;
- Represent PwC as a thought leader in technology-specific forums, industry events, and conferences;
- Demonstrates hands-on technology implementation, including platforms such as Azure, Databricks and Snowflake;
- Ensure data quality, integrity and compliance with industry standards and regulations;
- Implement data security measures to protect sensitive information;
- Monitor and troubleshot Azure Data Factory pipelines to ensure data is process efficiently and accurately;
- Monitor and tune the performance of data processing jobs;
- Implement best practices for data partitioning, indexing, caching;
- Design and develop scalable data warehouse solutions that meet the organization’s data storage, retrieval, and analysis requirements;
- Understanding and familiarity of one or more is a big plus - CI/CD, cloud devops, containers (kubernetes/Docker, etc.);
- Proven track record of establishing industry presence and maintaining influential professional networks; and,
- Demonstrates experience leading technology workstreams from inception to delivery, with outstanding communication and presentation skills.
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