• Design and build Fabric artifacts (pipelines, lakehouses, eventstream/real-time patterns). • Define data architecture standards and implement governance and security guardrails. • Create repeatable reference implementations for common digital product scenarios. • Produce and maintain the target-state architecture for Fabric-based data platform capabilities. • Establish architectural boundaries and integration guidance for shared datasets. • Define and enforce data modeling standards appropriate to Fabric Lakehouse/Warehouse patterns.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. 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 Summary: We are looking for a skilled and experienced Data Engineer with 5–8 years of experience in building scalable data solutions on the Microsoft Azure ecosystem. The ideal candidate must have strong hands-on experience with Azure Databricks, Azure Data Factory (ADF), or Azure Synapse Analytics, along with Python and SQL expertise. Familiarity with Data Lake, Data Warehouse concepts, and end-to-end data pipelines is essential. Responsibilities: - We are seeking a dedicated and detail-oriented Associate Data Integration Specialist with expertise in Informatica Intelligent Data Management Cloud (IDMC) to join our team. The ideal candidate will have 2 to 4 years of professional experience in data integration, cloud services, and related technologies. This is a full-time remote position, offering the opportunity to work in a dynamic and collaborative environment. Utilize Informatica Intelligent Data Management Cloud (IDMC) and Informatica Intelligent Cloud Services (IICS) for data integration and management projects. - Collaborate with cross-functional teams to design, develop, and implement data solutions using Azure Databricks, Azure Data Factory (ADF), and Azure Cloud Services. - Perform data migration, transformation, and integration tasks efficiently. - Optimize processes and workflows to ensure high-quality data management and delivery. - Leverage SQL Server and Azure SQL for database management and query optimization. - Provide technical expertise in troubleshooting and resolving issues related to data integration and cloud services. - Stay updated with the latest trends and advancements in data integration, cloud platforms, and associated technologies. - Experience & Qualifications - Experience: 2 to 4 years of relevant experience in data integration and cloud-based services. - Educational Qualification: No specific requirement, but a degree in Computer Science, Information Technology, or a related field is a plus. - Certifications: No mandatory certifications, but relevant certifications in Informatica, Azure, or data management tools are highly desirable. - Skills Required: - Primary Skills: IDMC, IICS, Azure Databricks, ADF, Azure Cloud Services. - Secondary Skills: SQL Server, Azure SQL. Mandatory skill sets: IDMC/Informatica/Azure Preferred skill sets: IDMC/Informatica/Azure Years of experience required: 2-4 Years Education qualification: B.E.(B.Tech)/M.E/M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Microsoft Azure Architecture Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Geopolitical Forecasting, Geopolitical Risk Analysis, Global Macro, Inclusion {+ 19 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 April 16, 2026

• Design and maintain robust data pipelines to ingest from a wide range of sources, including APIs, documents, websites, and raw sensor data • Integrate and optimize ETL/ELT processes developed by MLE colleagues, improving performance, reliability, and long-term maintainability • Own the full dataset lifecycle, from raw ingestion through cleaning, validation, and delivery as training-ready data • Define and enforce data quality standards and governance practices across the Data Foundry team • Build and maintain labeling pipeline infrastructure for ML applications, working closely with the annotation team • Participate in architectural decisions, code reviews, and technical mentorship within the team • Document data sources, pipeline logic, and processing decisions for reproducibility and team alignment

• Clean, normalize, and map incoming client data to ensure consistency and usability within the PatientNow platform • Execute data imports using internal tools and pre-built templates while ensuring data integrity and completeness • Identify, troubleshoot, and resolve data-related issues throughout the implementation lifecycle • Collaborate with Implementation Specialists to understand client use cases, business workflows, timelines, and technical requirements • Communicate directly with clients to collect data files, clarify requirements, and guide them through migration best practices • Provide ongoing support to clients by answering data-related questions and ensuring proper formatting standards are followed • Perform detailed quality assurance to validate imported data, ensuring accuracy and alignment with defined project scope • Maintain thorough documentation of data mappings, import history, validation results, and issue resolution for audit and support purposes • Work closely with Development Operations to monitor, prioritize, and complete data import tasks within defined SLA expectations • Contribute to the continuous improvement of migration processes, templates, internal tools, and documentation • Partner with Product and Engineering teams to escalate data structure limitations, identify integration needs, and provide feedback on customer pain points • Configure and maintain automated lead intake solutions that connect client websites with the PatientNow EMR system, ensuring accurate and timely creation of prospective patient records