Azure Databricks - Senior Manager

Industry/Sector

Not Applicable

Specialism

Analytics

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.

The Opportunity

• When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.
• As part of the Data and Analytics Engineering team you will lead the design and implementation of innovative data solutions leveraging Azure and Databricks. As a Senior Manager you will serve as a strategic advisor, utilizing your knowledge to drive project success while engaging with clients to understand their needs and deliver impactful results.

Responsibilities

• Lead the design and execution of innovative data solutions using Azure and Databricks
• Serve as a strategic advisor to clients, understanding their requirements
• Drive project success through impactful stakeholder engagement
• Collaborate with teams to deliver significant results
• Maintain adherence to standards in data engineering
• Foster a culture of innovation and continuous improvement
• Analyze complex data challenges and propose viable solutions
• Mentor team members to enhance their skills and capabilities

What You Must Have

• Bachelor's Degree
• 12 years of experience
• Oral and written proficiency in English required

What Sets You Apart

• BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA preferred
• Skilled in Azure cloud computing and big data technologies
• Demonstrating hands-on experience in Cloud Analytics
• Leading technical teams and mentoring team members
• Engaging with stakeholders to build technical solutions
• Presenting technical and business executive presentations
• Understanding data architecture and processing concepts
• Knowledge of real-time/stream analytics trends
• Experience in Pre
• Sales and proposal response

Travel Requirements

Not Specified

Job Posting End Date