IN- Manager_ Application & Solution Development_IN_IT_ Services CO_IFS_PAN India

Line of Service Internal Firm Services Industry/Sector Not Applicable Specialism IFS - Internal Firm Services - Other Management Level Manager Job Description & Summary At PwC, our people in infrastructure focus on designing and implementing robust, secure IT systems that support business operations. They enable the smooth functioning of networks, servers, and data centres to optimise performance and minimise downtime. In infrastructure engineering at PwC, you will focus on designing and implementing robust and scalable technology infrastructure solutions for clients. Your work will involve network architecture, server management, and cloud computing experience. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: Seeking an experienced and visionary Manager to lead our Azure Engineering team, focusing on Microsoft Fabric and Databricks platforms. In this role, candidate will be responsible for driving the design, implementation, and optimization of cloud data engineering solutions that leverage Microsoft Fabric, Azure services, and Databricks. Leading a team of engineers and collaborate closely with data scientists, architects, and business stakeholders to build scalable, secure, and performant data pipelines and analytics platforms This role involves working closely with IT teams and stakeholders to design and implement database solutions that align with business needs Responsibilities: Lead, mentor, and grow a high-performing engineering team specializing in Azure Cloud, Microsoft Fabric , and Databricks technologies . Define and execute the cloud data platform roadmap, aligned with business objectives and technology best practices. Architect scalable, resilient, and secure data solutions using Microsoft Fabric (including One Lake, Data Factory, Synapse, etc.) and Databricks on Azure. Oversee the design and implementation of ETL/ELT pipelines, data lakes , and analytics platforms to support advanced analytics, machine learning, and BI initiatives. Collaborate with data architects, product owners, and business stakeholders to translate requirements into technical solutions. Drive adoption of DevOps practices, automation, CI/CD pipelines , and infrastructure as code for cloud data engineering workflows. Monitor and improve performance, reliability, and cost optimization of data engineering solutions. Ensure compliance with data governance, security policies , and regulatory requirements. Stay current with industry trends in cloud data engineering, Azure services, Microsoft Fabric updates, and Databricks innovations. Advocate for continuous technical improvement. Manage vendor relationships and coordinate with Microsoft support as needed. Provide technical oversight, code reviews, and promote best practices within the team Cloud Data Engineering Expertise Deep knowledge of Azure Data Services such as Azure Data Factory, Synapse Analytics, Azure Blob Storage, and Azure Data Lake Storage. Strong experience with Databricks on Azure, including Spark, Delta Lake, and associated data engineering patterns. Microsoft Fabric Proficiency Practical experience with Microsoft Fabric components (OneLake, Data Factory integration, Synapse, and Power BI integration). Ability to architect solutions leveraging Fabric’s unified data and analytics capabilities. Architecture & Solution Design Capability to design scalable, resilient, secure, and cost-effective cloud data platforms. Strong understanding of data pipeline architectures (ETL/ELT), data lakes, and analytics workflows. Programming & Automation Proficiency with programming/scripting languages like Python, SQL, Scala for data engineering tasks. Experience with Infrastructure as Code (Terraform, ARM templates) and CI/CD pipelines (Azure DevOps, GitHub Actions) Ability to analyze and solve complex technical problems. Excellent communication and collaboration skills Mandatory skill sets: Azure Cloud, Microsoft Fabric , and Databricks technologies, DevOps practices, automation, CI/CD pipelines Preferred skill sets: Curiosity : A natural curiosity and eagerness to learn, explore new ideas, and see past the status quo. Collaboration: A natural collaborator, suited to work in a collaborative culture with a diverse and talented team that values collaboration, constructive challenging and mutual respect. · Challenge: Demonstrates the capability to question and challenge ideas, decisions, and processes in a constructive manner, fostering a culture of continuous improvement and innovation while maintaining respect and professionalism in all interactions. Value Driven: Demonstrates a strong commitment to ethical principles and organisational values, ensuring that all actions and decisions align with the company's mission and integrity standards. Excellent attention to detail. Proactive. Adaptability in dynamic environment Azure Certified Solution Architect Years of experience required: 7+ yrs Education qualification: Bachelor’s degree Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor Degree Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Technical Troubleshooting Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Amazon Web Services (AWS), Analytical Thinking, Architectural Engineering, Business Continuity, Cloud Architectures, Cloud Compliance, Cloud Infrastructure, Cloud Migration, Cloud Virtualization, Coaching and Feedback, Communication, Continuous Deployment, Continuous Integration/Continuous Delivery (CI/CD), Creativity, Data Infrastructure, DevOps Practices, Disaster Recovery, Embracing Change, Emotional Regulation, Empathy, Google Cloud Platform (GCP), Hardware Troubleshooting {+ 36 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date