{"id":3959762,"url":"https://alion.io/job/mphasis-lead-data-engineer","title":"Lead Data Engineer","company":{"id":59446,"name":"Mphasis","domain":"mphasis.com","url":"https://alion.io/company/mphasis","size_band":"201-500","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"RippleHire","truth_index":{"grade":"B","score":78,"open_postings":24,"ghost_share":0,"stale_share":0.875,"repost_share":0,"time_to_fill_p50_days":31,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Erwin","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Jira","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-21T00:00:00Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T10:53:24Z","board_verified":true,"closed_at":null,"days_open":19,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":19},"description":"JOB DESCRIPTION - DB DATA MODELLER\nConceptual | Logical | Physical | Dimensional | Semantic Data Modelling\nExperience\n10+ years\nRole Level\nSenior DB Data Modeller\nPrimary Focus\nEnterprise and Analytical Data Models\nDomain\nInsurance and Benefits Management\nRole Summary\nSeeking a Senior DB Data Modeller with 10+ years of experience translating complex business requirements into scalable, governed and implementation-ready data models. The role will develop conceptual, logical, physical, dimensional, canonical and semantic models for operational, analytical and AI-ready platforms, supported by Insurance and Benefits Management domain experience.\nKey Responsibilities\nCreate and maintain conceptual, logical and physical data models for transactional databases, data warehouses and Lakehouse platforms.Design normalized relational models and dimensional star/snowflake schemas for operational reporting, analytics, BI and AI use cases.Define canonical models for benefits, employer, client, plan, member, enrollment, policy, premium, claims, renewal and carrier data.Work with business analysts, data owners and architects to identify entities, attributes, relationships, cardinality, keys and business rules.Develop source-to-target mappings, transformation rules and model specifications for ETL/ELT and API integration teams.Perform data profiling and SQL analysis to validate source structures, model assumptions, referential integrity and data quality.Define naming standards, data types, domains, reference data, slowly changing dimensions, effective dating and history patterns.\nMaintain data dictionaries, model metadata, business definitions, lineage and traceability through governed repositories and catalogues.\nConduct model reviews with architects, DBAs, engineers, BI teams and business stakeholders; resolve duplication and semantic conflicts.\nSupport physical implementation, indexing, partitioning, query-performance tuning, model versioning, release impact analysis and production issue resolution.\nMandatory Technical Skills\nConceptual, logical and physical data modelling; relational and dimensional modelling; normalization and denormalization; star and snowflake schemas; entity-relationship modelling; canonical and semantic models; master and reference data; data profiling and source-to-target mapping; advanced SQL; PostgreSQL, SQL Server, Oracle or comparable relational databases; data-warehouse and Lakehouse modelling; Delta Lake and Azure Databricks concepts; Power BI semantic models; metadata, lineage and business glossary; data quality and reconciliation; model versioning and change control; ERwin, ER/Studio, SAP PowerDesigner, Visio or comparable modelling tools; Git, Jira or Azure DevOps; Agile delivery practices.\nExperience and Qualifications\n10+ years of experience in data modelling, database design, data warehousing, data architecture or enterprise data management.Proven experience delivering conceptual, logical and physical models for complex enterprise and analytical solutions.Strong hands-on SQL, data profiling, mapping, dimensional modelling and relational database-design experience.Experience collaborating with business, architecture, database, data-engineering, BI, governance and testing teams.Experience implementing modelling standards, model governance, documentation and design-review controls.Bachelor’s degree in Computer Science, Information Technology, Data Engineering or a related discipline; relevant data-modelling certification is preferred.Domain Experience\nInsurance or employee-benefits experience across employer, client, plan, member, eligibility, enrollment, policy, carrier, premium, claims and renewal data.Understanding of sensitive and regulated information, employer-level isolation, effective dating, auditability and governed metric definitions.Experience modelling canonical benefits data, certified metrics and semantic structures for role-based BI or natural-language analytics is advantageous.Core Competencies\nStructured data thinking, analytical problem-solving, business-to-technical translation, model precision, documentation discipline, stakeholder facilitation and the ability to balance consistency, performance, scalability, governance and implementation practicality.","description_format":"text","description_chars":4269,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Business Process Outsourcing (BPO)","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-11-09T10:53:24Z"}],"visa":[],"liveness":{"score":77,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":0.9,"age_days":19,"expected_fill_days":35,"reasons":["conf:2","win:mid","comp:brand"],"computed_at":"2026-11-09T13:20:52Z"},"pay":null,"html_url":"https://alion.io/job/mphasis-lead-data-engineer","json_url":"https://alion.io/job/mphasis-lead-data-engineer.json","meta":{"generated_at":"2026-11-09T13:20:52Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":17424,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":59446},"rest":"https://alion.io/mcp/rest/get_company?id=59446"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmphasis-lead-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmphasis-lead-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmphasis-lead-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/mphasis-lead-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmphasis-lead-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3959762}},{"tool":"search_jobs","arguments":{"company":"mphasis.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3959762},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); 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