{"id":2904753,"url":"https://alion.io/job/pwc-uk-data-modeler","title":"Data Modeler","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":"B","score":81,"open_postings":86,"ghost_share":0,"stale_share":0.942,"repost_share":0,"time_to_fill_p50_days":9,"computed_at":"2026-10-25T05:49:26Z"}},"role":"DevOps","role_family":"DevOps","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":20000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":49},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Erwin","optional":false},{"name":"GCP","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-20T07:34:04Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-24T21:21:41Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Industry/Sector\nNot ApplicableSpecialism\nPlatform Engineering & ArchitectureManagement Level\nManagerJob 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 Modeler you will shape data structures that support data and analytics engineering within our Cloud Engineering, Data & Analytics practice, helping translate business needs into practical data models and design choices. As a Manager you will lead teams, coach junior professionals, and manage workstreams while bringing together planning, delivery oversight, and thoughtful problem solving to help drive client outcomes. In this role at PwC, you will contribute to data modernisation efforts by developing conceptual, logical, and physical models, supporting data governance activities, and collaborating across teams to improve how data is organized, accessed, and used.\nResponsibilities\n- Leading data modeling workstreams across data engineering initiatives, translating business needs into scalable logical and physical models\n- Designing dimensional, warehouse, and lakehouse structures that support analytics, reporting, and downstream data consumption\n- Reviewing source system structures, business rules, and transformation logic to define accurate data relationships and mappings\n- Applying Snowflake, Databricks, Azure Data Factory, and data pipeline tools to shape, transform, and validate data assets\n- Collaborating with architects, engineers, and client stakeholders to align model design with data strategy and platform architecture\n- Identifying data quality, performance, and integration issues and driving remediation actions through iterative design reviews\n- Mentoring junior team members on modeling standards, documentation practices, and technical delivery methods\n- Managing deliverable timelines, prioritizing work across multiple requests, and adapting design decisions as requirements evolve\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- Well versed in Data Modeling tools like ER/Studio, Erwin Data Modeler, Data Vault, Toad Data Modeler etc.\n- Hands on experience of working in the Cloud technologies - 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