{"id":3233520,"url":"https://alion.io/job/engineo-data-solutions-architect","title":"Data Solutions Architect","company":{"id":20100,"name":"Engineo","domain":"engineo.solutions","url":"https://alion.io/company/engineo","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":56000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":37},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Alation","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache HTTP Server","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Collibra","optional":false},{"name":"Data Vault","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Informatica","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Master Data Management","optional":false},{"name":"Oracle ERP","optional":false},{"name":"Python","optional":false},{"name":"SAP BW","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false},{"name":"Amazon Neptune","optional":true},{"name":"Azure Cosmos DB","optional":true},{"name":"Feature Store","optional":true},{"name":"GDPR","optional":true},{"name":"Great Expectations","optional":true},{"name":"Neo4j","optional":true},{"name":"Talend","optional":true}],"status":"live","first_seen_at":"2026-10-25T09:35:00Z","employer_posted_date":null,"last_verified_at":"2026-10-25T09:35:00Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"The candidate will have responsibilities across the following functions: \n\nEnterprise Data Discovery and Landscape Assessment: \nLead comprehensive discovery and assessment of enterprise data estates at large MNC clients - including legacy systems, ERP platforms, operational databases, data warehouses, and unstructured data repositories.\nReverse-engineer and document data models, schemas, and entity relationships from complex legacy systems and ERP platforms, including SAP (S/4HANA, ECC, BW/4HANA), Oracle EBS/Fusion, and Microsoft Dynamics 365\nMap end-to-end data lineage across heterogeneous source systems, identifying data ownership, quality gaps, duplication, and transformation logic embedded in legacy ETL processes.\nConduct data profiling and quality assessments to characterise the state of enterprise data assets and surface critical issues that must be addressed before migration or transformation.\nProduce detailed data landscape documentation - source system inventories, data flow diagrams, entity catalogues, and integration topology maps - as inputs to solution architecture design.\n\nData Ontology and Semantic Modelling: \nDesign and develop enterprise-wide data ontologies that standardise entity definitions, relationships, hierarchies, and domain vocabulary across business functions, including finance, supply chain, procurement, HR, and customer management.\nBuild formal ontological representations using semantic web standards (RDF, RDFS, OWL) and translate them into actionable data models and integration patterns for enterprise platforms.\nDevelop business glossaries, controlled vocabularies, and taxonomies that bridge the gap between technical data structures and business language - enabling consistent understanding across the organisation.\nDesign and implement knowledge graphs to represent complex entity relationships and enable advanced querying, reasoning, and AI-driven data discovery across the enterprise.\nWork closely with business domain experts, data stewards, and enterprise architects to validate and evolve ontological models as the business changes.\nEstablish ontology governance processes - versioning, change management, stewardship responsibilities, and review cycles - to ensure the enterprise ontology remains accurate and current.\n\nData Architecture and Solution Design: \nArchitect end-to-end enterprise data solutions - spanning data warehouses, data lakes, lakehouses, data mesh, and federated data platforms - tailored to the scale, complexity, and governance requirements of large MNC clients.\nProduce solution blueprints, reference architectures, logical and physical data models, integration patterns, and technology roadmaps that translate business strategy into executable data architecture.\nDesign cloud-native data platform architectures on AWS, GCP, or Azure, incorporating cloud-native services for ingestion, storage, processing, governance, and consumption.\nDefine data integration architectures for harmonising ERP, CRM, SCM, HR, and legacy system data into unified analytical and operational data platforms.\nEstablish data architecture standards, design principles, and guardrails that govern how data solutions are built and evolved across the organisation.\nLead architecture review boards, conduct solution design reviews, and ensure proposed data solutions meet scalability, security, performance, and governance requirements.\n\nERP Data Expertise and Integration: \nDesign data extraction and transformation strategies for SAP S/4HANA, SAP BW/4HANA, Oracle EBS, Oracle Fusion, and Microsoft Dynamics 365 leveraging both standard and custom extraction methods.\nAddress the unique complexity of ERP data - including client/company code structures, multi-currency and multi-language configurations, organisational hierarchies, and deeply nested relational models.\nDesign ERP-to-cloud migration and modernisation architectures that preserve data integrity, business logic, and historical context while enabling modern analytics and AI workloads.\nAdvise clients on data harmonisation strategies when consolidating multiple ERP instances - typically arising from mergers, acquisitions, or global rollouts.\n\nMaster Data Management (MDM) and Data Governance: \nDesign enterprise MDM frameworks for critical business entities - customer, product, supplier, material, employee, and location - across heterogeneous source systems and geographies.\nDefine entity resolution, deduplication, golden record creation, and survivorship rules for master data domains in complex, multi-source MNC environments.\nArchitect MDM platform implementations using tools such as Informatica MDM, SAP MDG, IBM MDM, or cloud-native MDM solutions.\nDesign and implement data governance frameworks - including data ownership models, stewardship accountability, policy management, data quality metrics, and audit mechanisms.\nEstablish metadata management architectures and data cataloguing strategies using tools such as Collibra, Alation, Apache Atlas, or Microsoft Purview.\nDefine data classification schemes, sensitivity labels, and access control models to ensure enterprise data is protected and compliant with regulatory requirements.\n\nClient Advisory and Stakeholder Engagement: \nEngage at CXO, CDO, and enterprise architecture leadership levels at large MNC clients - presenting data architecture visions, programme roadmaps, and solution recommendations with authority and clarity.\nLead client workshops - including architecture discovery sessions, design thinking exercises, and architecture review meetings - to align stakeholders on data strategy and solution direction.\nTranslate complex technical architecture concepts into business-relevant language that resonates with senior business and finance stakeholders unfamiliar with data engineering.\nBuild trusted advisor relationships with client data and technology leadership, positioning the organisation as a long-term strategic partner for enterprise data transformation.\nContribute to presales activities - including RFP responses, solution demonstrations, architecture proposals, and effort estimation for large data transformation programmes.\n\nInnovation and Thought Leadership: \nStay at the forefront of enterprise data architecture trends - including data mesh, data fabric, AI-ready data platforms, and graph-based data intelligence.\nEvaluate and recommend emerging data technologies, frameworks, and platforms relevant to the challenges faced by large MNC data estates.\nDevelop reusable architecture assets - reference architectures, solution accelerators, data models, and ontology templates - that can be applied across multiple client engagements.\nContribute to the organisation's data architecture practice through internal knowledge sharing, mentoring of senior data engineers, and participation in practice-building initiatives.\n\nThe core requirements for the job include the following:\n\nEducation and Technical Skills: \nBachelor's or Master's degree in Computer Science, Information Technology, Information Systems, or a related engineering discipline.\n10-15 years of progressive experience in data architecture, data engineering, or enterprise information management roles - with at least 5 years in a senior architect capacity.\nDemonstrable, hands-on experience working with large MNC data estates encompassing legacy systems and one or more major ERP platforms: SAP (S/4HANA, ECC, BW), Oracle EBS/Fusion, or Microsoft Dynamics 365\nDeep expertise in data modelling - conceptual, logical, and physical - including dimensional modelling, data vault, and normalised relational models for both OLTP and OLAP use cases.\nProven experience designing data ontologies, taxonomies, and business glossaries using formal standards (RDF, RDFS, OWL) and ontology tooling such as Protege.\nStrong proficiency in SQL and at least one programming or scripting language (Python, Scala, or equivalent) for data discovery, profiling, and architecture validation.\nHands-on experience with at least one major cloud data platform - AWS (Redshift, Glue, Lake Formation, S3), GCP (BigQuery, Dataplex, Dataflow), or Azure (Synapse Analytics, Purview, ADLS).\nExperience designing and implementing MDM frameworks and familiarity with at least one MDM platform (Informatica MDM, SAP MDG, IBM MDM, or equivalent).\n\nGood to Have: \nExperience with knowledge graph platforms and graph databases - Neo4j, Amazon Neptune, or Azure Cosmos DB (Gremlin API).\nFamiliarity with enterprise architecture frameworks such as TOGAF, Zachman, or equivalent.\nExposure to data mesh architecture principles and federated data ownership models.\nKnowledge of AI/ML data platform requirements - feature stores, vector databases, training data management - and how they integrate with enterprise data architectures.\nExperience with data fabric platforms such as Informatica IDMC, Talend, or IBM Cloud Pak for Data.\nFamiliarity with data observability and data quality tools - Collibra, Alation, Monte Carlo, Great Expectations, or Soda.\nUnderstanding of data privacy regulations relevant to MNC operations - GDPR, DPDP Act, CCPA - and their implications for data architecture design.\nCloud architecture certifications (AWS, GCP, or Azure) in data or analytics specialisations.\n\nSoft Skills and Leadership Qualities: \nExceptional communication and executive presence - able to present complex data architecture concepts with clarity and conviction to CXO and CDO audiences.\nStrong consultative mindset - listens carefully, asks the right questions, and designs solutions that genuinely address business problems rather than applying generic patterns.\nComfortable operating in ambiguous, high-complexity environments typical of large multinational organisations with long histories and heterogeneous technology landscapes.\nStructured thinker who can decompose large, complex data problems into manageable architectural decisions and phased delivery roadmaps.\nNatural collaborator who works effectively with client teams, technology vendors, delivery managers, and internal data engineering and consulting colleagues.\nSelf-driven and intellectually curious - continuously learning and applying new developments in the rapidly evolving enterprise data and AI landscape.\nSkills\nAWS, Azure, Dynamics, GCP, Oracle, SAP, SQL, data, ontology, python, scala","description_format":"text","description_chars":10311,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Enterprise Apps Implementation Partners"],"lifecycle":[{"event":"open","at":"2026-10-25T09:35:00Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":37,"reasons":["seen:3","velocity","win:early"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/engineo-data-solutions-architect","json_url":"https://alion.io/job/engineo-data-solutions-architect.json","meta":{"generated_at":"2026-10-30T03:00:32Z","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":3936,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":20100},"rest":"https://alion.io/mcp/rest/get_company?id=20100"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fengineo-data-solutions-architect"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Fengineo-data-solutions-architect"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Fengineo-data-solutions-architect"},{"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/engineo-data-solutions-architect\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fengineo-data-solutions-architect"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3233520}},{"tool":"search_jobs","arguments":{"company":"engineo.solutions","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3233520},"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); https://alion.io/mcp with an Alion account has everything. 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