{"id":3053000,"url":"https://alion.io/job/pwc-uk-data-engineer-senior-manager","title":"Data Engineer - Senior Manager","company":{"id":714797,"name":"PwC UK","domain":"pwc.co.uk","url":"https://alion.io/company/pwc-6","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":28,"ghost_share":0,"stale_share":0.75,"repost_share":0,"time_to_fill_p50_days":9,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":71},"experience_years_min":13,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Semantic Search","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-25T00:00:00Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-23T07:38:38Z","board_verified":true,"closed_at":null,"days_open":28,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":28},"description":"Industry/Sector\nNot ApplicableSpecialism\nFunctional & Industry TechnologiesManagement Level\nSenior ManagerJob Description & Summary\nThe Opportunity\nJoin our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services-solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference-every day.\nAs a Data Engineer - Senior Manager, you will lead the development of innovative software solutions within our Advisory practice, focusing on driving digital transformation and enhancing business performance. You will use your technical skills and creative thinking to design, code, and test applications that transform industries and deliver exceptional user experiences. As a Senior Manager, you will leverage your influence, skills, and network to deliver quality results. You will motivate and coach teams to solve complex problems, applying sound judgment to recognize when to take action and when to escalate. Your ability to develop and sustain high-performing, diverse, and inclusive teams, along with your commitment to excellence, contributes to the success of our firm.\nIn this role at PwC Acceleration Center India, you will focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. You will craft and convey clear, impactful messages that tell a holistic story, apply systems thinking to identify underlying problems, and validate outcomes with clients. Your role will involve directing teams through complexity, demonstrating composure in challenging situations, and initiating open and honest coaching conversations at all levels.\nResponsibilities\nLead the design, development, and implementation of innovative data and software solutions that drive digital transformation and business value.\nServe as the technical owner and solution lead for complex engineering initiatives, providing direction across archi\ntecture, design, development, testing, and deployment.\nDesign scalable, resilient, and maintainable application, data, and integration architectures that align with business requirements and technology standards.\nLead enterprise-scale data engineering solutions on modern cloud data platforms and lakehouse architectures, such as Databricks, Microsoft Fabric, Snowflake, Sigma, or similar enterprise data platforms.\nDesign and implement scalable data pipelines, data products, APIs, integrations, and distributed data processing solutions using Python, SQL, Spark, and modern cloud technologies.\nApply data modeling techniques and architectural patterns including data lake, lakehouse, Delta Lake, and data warehouse solutions to support analytics and AI-driven platforms.\nCollaborate with stakeholders to translate business and functional requirements into technical specifications, solution designs, and implementation roadmaps.\nDrive technical decision-making across architecture, engineering, integration, performance optimization, and operational readiness.\nConduct architecture reviews, solution reviews, and code reviews to ensure adherence to engineering standards, security requirements, and software quality best practices.\nChampion modern engineering practices including CI/CD, DevOps, Infrastructure as Code (IaC), automated testing, observability, and deployment automation.\nDesign and implement AI-enabled solutions using Generative AI, Retrieval-Augmented Generation (RAG), semantic search, vector databases, and agentic AI frameworks.\nApply analytical thinking and systems thinking to troubleshoot complex technical challenges, identify dependencies, and drive root-cause resolution.\nBuild and maintain strong client and stakeholder relationships, validate delivery outcomes, and incorporate feedback to continuously improve solutions.\nPromote innovation through rapid experimentation, proof of concepts, reusable accelerators, and adoption of emerging technologies.\nCoach and mentor engineers and technical leads through architecture guidance, design reviews, engineering practices, and technical problem solving.\nOwn end-to-end technical delivery and solution outcomes, ensuring alignment with business objectives, quality standards, scalability requirements, and client expectations.\nWhat You Must Have\nBachelor’s degree or equivalent experience.\n13 to 18 years of relevant experience in data engineering or related technology roles.\nWhat Sets You Apart\nDeep expertise in Application Architecture, Data Engineering, Solution Design, and Technical Leadership.\nProven experience architecting and delivering enterprise-grade applications, data platforms, integrations, and analytics solutions.\nStrong hands-on experience with modern cloud data platforms such as Databricks, Microsoft Fabric, Snowflake, Sigma, or similar enterprise data platforms.\nExpertise in Data Lakes, Lakehouse Architecture, Data Warehousing, Data Modeling, and Distributed Data Processing Frameworks.\nAdvanced proficiency in Python, SQL, Spark, API Management, Enterprise Application Integration, and Modern Software Engineering Practices.\nDemonstrated expertise in CI/CD, DevOps, automated testing, deployment automation, and engineering governance.\nExperience designing and implementing Generative AI, Retrieval-Augmented Generation (RAG), semantic search, vector database architectures, and AI-powered enterprise solutions.\nHands-on experience with modern AI orchestration and agentic frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or similar technologies.\nExceptional analytical thinking, systems thinking, and problem-solving capabilities with the ability to navigate highly complex and ambiguous technical challenges.\nDemonstrated ability to lead technical discussions, influence architecture and design decisions, and drive technical excellence across multiple initiatives.\nStrong client engagement and relationship management skills with the ability to translate complex technical concepts into business outcomes.\nProven ability to innovate through rapid experimentation, creativity, and adoption of emerging technologies.\nDemonstrated ownership mindset with accountability for architecture quality, solution design, technical delivery, and business outcomes.\nStrong communication skills with the ability to effectively convey impactful technical and business messages across engineering, leadership, and client stakeholders.\nTravel Requirements\nUp to 20%Job Posting End 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