{"id":3386540,"url":"https://alion.io/job/ntt-data-solution-architect-data-platform-modernization","title":"Solution Architect - Data Platform Modernization","company":{"id":50348,"name":"NTT DATA","domain":"nttdata.com","url":"https://alion.io/company/ntt-data","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":94,"open_postings":93,"ghost_share":0,"stale_share":0.441,"repost_share":0.011,"time_to_fill_p50_days":17,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","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, 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state architecture across data ingestion, storage, transformation, consumption, security, and observability.\nCreate and maintain high-level and detailed architecture diagrams, migration wave plans, and reference patterns.\nAlign architecture with enterprise standards, security, compliance, and cloud governance.\nDesign the Databricks architecture: workspaces, clusters, jobs, Delta Lake layers (bronze/silver/gold), and integration with Azure services.\nDefine integration patterns with Azure services such as ADLS, ADF/Synapse, Key Vault, Azure DevOps, and monitoring/log analytics.\nSelect and standardize data access methods (e.g., external tables, views, direct connections, APIs) for downstream consumers.\nAnalyze existing schemas, workloads, and query patterns, and define equivalent or improved implementations in Databricks and Snowflake.\nDefine canonical migration patterns for:\no Table structures (including partitioning, clustering, distribution)\no Stored procedures, complex SQL, and business logic\no Batch and incremental loads / CDC\nDesign reusable migration frameworks and accelerators (e.g., code templates, parameterized pipelines, data validation utilities).\nEstablish a wave-based migration model (by subject area / domain / criticality) with clear entry/exit criteria.\nDefine target ELT patterns using dbt on Snowflake (staging, core, mart layers).\nExperience :\n15+ years designing enterprise data platforms, Lakehouse / medallion architectures, and scalable analytics ecosystems in regulated industries.\nDeep experience defining Bronze, Silver, and future Gold / ODS patterns using Databricks, ADLS/S3, Delta Lake, DBT, orchestration, and secure consumption layers.\nStrong capability in canonical data modeling across Policy, Claims, Billing, Customer, and reference/master data domains.\nExperience with architecture decisions for performance, partitioning, lineage, metadata, resilience, disaster recovery, and environment strategy.\nAble to align enterprise 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