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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 Fabric Data Engineering Manager you will lead client support data engineering work focused on cloud engineering, data modernization, and platform architecture within our Cloud Engineering, Data & Analytics practice. As a Manager you will lead teams, mentor junior staff, and manage delivery across multiple workstreams while applying judgment to complex data problems, validating timelines, and maintaining alignment with client needs and firm methodology. In this role at PwC, you will guide the design, build, and support of data solutions, collaborate across technical teams, and help shape deliverables that support modernization efforts and dependable platform performance.\nResponsibilities\n- Leading data engineering workstreams focused on Fabric-based modernization programs and cloud data platform delivery\n- Managing project plans, timelines, budgets, and deliverables across multiple client engagements\n- Guiding teams in the design and build of data pipelines, data lakes, and data warehouses using Azure Data Factory, Databricks, and Snowflake\n- Reviewing data architecture, modeling, integration, transformation, and validation activities to support reliable analytics outcomes\n- Coaching junior team members on engineering methods, code review practices, and delivery coordination\n- Translating business needs into scalable data solutions and resolving design issues across source systems and target platforms\n- Overseeing performance tuning, query optimization, and troubleshooting across warehouse and pipeline environments\n- Applying data quality, security, anonymization, and governance practices throughout solution delivery\n- Identifying opportunities to improve automation, reuse, and modern data engineering approaches across client programs\nWhat You Must Have\n- At least a Bachelor's degree\n- At least 8 years of experience\n- Oral and written proficiency in English required\n- Leads delivery of Microsoft Fabric solutions, defines architecture, and manages teams and client relationships.\n- Define data architecture and solution design using Microsoft Fabric\n- Lead large-scale data transformation and migration projects\n- Oversee development of enterprise-grade data platforms\n- Ensure governance, security, and compliance frameworks\n- Drive performance optimization and cost management\n- Manage stakeholders and translate business needs into technical solutions\n- Lead and mentor teams (Associates & Senior Associates)\n- Support pre-sales, proposals, and solution demos\nWhat Sets You Apart\n- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics\n- Demonstrating data engineering leadership across client delivery workstreams\n- Managing Fabric, Databricks, and Snowflake modernization initiatives\n- Coaching teams through Agile delivery and feedback cycles\n- Applying AWS, Azure Data Factory, and Apache Airflow\n- Translating data architecture needs into scalable pipeline designs\nTravel Requirements\nNot SpecifiedJob Posting End 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