{"id":4068716,"url":"https://alion.io/job/thehrally-microsoft-dynamics-365-fo-data-architect","title":"Microsoft Dynamics 365 F&O Data Architect","company":{"id":4464869,"name":"The HR Ally","domain":"thehrally.com","url":"https://alion.io/company/thehrally","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Enterprise Apps","role_family":"Enterprise Apps","seniority":"staff","employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":{"label":"EST","utc_offset_min":-5,"utc_offset_max":-5},"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US","IN"],"hiring_countries_total":2,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"Data Vault","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Talend","optional":false}],"status":"live","first_seen_at":"2026-11-11T09:49:23Z","employer_posted_date":null,"last_verified_at":"2026-11-11T09:49:23Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Role: Microsoft Dynamics 365 F&O Data Architect\nLocation: India – Remote (work US EST hours)\nExperience: 8+ yrs of experienceContract: 6 months contract + possible extension\nKey Responsibilities\n\nData architecture:Define the target-state data architecture for D365 F&O reporting and analytics, including source, integration, storage, semantic, consumption, security, and lineage layers.\n\nERP data model expertise:Interpret D365 F&O tables, data entities, business events, dimensions, legal entities, reference data, and transactional structures across finance, procurement, inventory, sales, and related operational domains.\n\nAnalytical data design:Design canonical, dimensional, and semantic models that convert complex ERP data into reusable and business-friendly datasets, measures, and hierarchies.\n\nData extraction and integration: Recommend and design appropriate patterns for extracting and integrating D365 F&O data with the enterprise data platform, including near-real-time, batch, historical, and reconciliation requirements.\n\nReporting enablement:Partner with BI developers and business analysts to define trusted datasets and reporting solutions for financial, operational, inventory, sales, and management reporting.\n\nData mapping and documentation: Own or govern the data dictionary, source-to-target mappings, transformation rules, interface specifications, lineage, and technical metadata required by the PE365 BI and analytics stream.\n\nData quality and reconciliation: Define controls for completeness, accuracy, timeliness, duplication, balance reconciliation, and exception handling between D365 F&O, legacy sources, the data platform, and reports.\n\nMigration and history:Establish analytical requirements and architecture for historical data retention, legacy data access, cutover, opening balances, comparative reporting, and coexistence during transition.\n\nSecurity and governance:Ensure analytical solutions comply with role-based access, segregation of duties, privacy, retention, auditability, and enterprise data governance standards.\n\nNon-functional design:Define performance, scalability, availability, recoverability, supportability, monitoring, and data refresh requirements.\n\nArchitecture assurance:Review solution designs, integrations, customizations, and vendor deliverables for alignment with enterprise architecture principles and Microsoft-recommended patterns.\n\nDelivery leadership:Support estimation, planning, dependency management, design decisions, risk resolution, testing, cutover, knowledge transfer, and production readiness for data and BI deliverables.\n\nRequired Qualifications and Experience\nExtensive experience designing enterprise data solutions for Microsoft Dynamics 365 Finance & Operations in complex, multi-entity environments.\n\nStrong knowledge of the D365 F&O logical and physical data model, data entities, financial dimensions, legal entities, inventory, sales data domains, and cross-module data relationships.\n\nDemonstrated experience architecting ERP data integration, reporting, data warehousing, lakehouse, and semantic-layer solutions.\n\nStrong understanding of Microsoft data and analytics technologies such as Azure Data Lake Storage, Microsoft Fabric, OneLake, Azure Data Factory, Azure SQL, Dataverse, Synapse, Power BI, and related integration services.\n\nStrong understanding of Snowflake platform, Talend ETL tool.\n\nExperience with D365 F&O data access and integration patterns, such as supported export, replication, API, event, and entity-based approaches.\n\nProficiency in dimensional modelling, data vault or canonical modelling concepts, SQL, metadata management, master and reference data, and data lifecycle practices.\n\nExperience defining source-to-target mappings, reconciliation controls, data quality rules, test strategies, and technical design documentation.\n\nAbility to assess standard functionality and custom extensions, identify downstream data impacts, and recommend sustainable alternatives.\n\nStrong communication and facilitation skills, with the ability to translate between finance and operations stakeholders, functional consultants, technical teams, delivery partners, and executives.\n\nExperience working within a large ERP transformation using Agile, hybrid, or stage-gated delivery methods.\n\nPreferred Qualifications\nMicrosoft certification in Dynamics 365 Finance, Supply Chain Management, Power BI, Fabric, Azure Data, or solution architecture.\n\nExperience with retail, distribution, inventory, merchandising, franchise, or multi-company operating models.\n\nExperience modernizing legacy ERP reporting and transitioning from direct operational reporting to governed enterprise data products.\n\nKey Deliverables\nPE365 BI reporting and analytics integration patterns and design standards.\n\nBusiness and technical data dictionary, source-to-target mappings, lineage, and transformation specifications.\n\nDomain data models and governed semantic models for priority reporting areas.\n\nData quality, reconciliation, security, retention, and monitoring controls.\n\nHistorical data, coexistence, cutover, and legacy reporting strategy.\n\nArchitecture decisions, design reviews, risks, dependencies, and production-readiness assessments.\n\nOriginally posted on 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