Senior Data Architect

Job Title-Data Architect Location- IndiaJob DescriptionWe are seeking a hands-on Data Architect with strong engineering sensibilities to lead enterprise data architecture engagements at client sites. In this client-facing role, you will own the design and delivery of scalable, governed, and future-ready data architectures – spanning data modeling, platform strategy, and federated data mesh design - while working closely with engineering teams to ensure architecture translates into working, production-grade solutions.You will serve clients across Financial Services, Healthcare, Retail, Manufacturing, Technology, Energy, Media, Government, Education, and Hospitality sectors, and must bring the adaptability to translate industry-specific data requirements into robust architectural solutions.Key Responsibilities● Design conceptual, logical, and physical data models aligned to client business domainsand operational requirements● Define and enforce enterprise data architecture standards, patterns, and governanceframeworks across client environments● Lead data mesh design including domain ownership models, data product definitions,and federated governance patterns● Architect data platform strategies covering ingestion, storage, transformation, serving,and consumption layers● Develop data lineage, master data management (MDM), and metadata managementframeworks● Translate industry-specific regulatory, compliance, and operational data requirementsinto architecture decisions (e.g., HIPAA for healthcare, PCI-DSS for financial services,CMMC for defense)● Align data architecture to client capability priorities including Finance AI, Growth &Revenue AI, Supply Chain modernization, and Enterprise Office Transformation● Collaborate with engineering teams to validate architecture blueprints againstimplementation realities and adjust designs accordingly● Produce client-facing architecture decision records (ADRs), reference architectures, anddata strategy roadmaps● Drive data quality, observability, and SLA frameworks as first-class architecturalconcernsSoft Skills & Culture FitClient presence, ownership mindset, clear communicator, collaborative, intellectually curious,delivery-oriented, industry-adaptableIndustry & Domain ExposureCandidates should have working experience or demonstrable exposure across 2 or more of ourserved industries: Financial Services, Healthcare & Life Sciences, Retail & Consumer Goods,Manufacturing & Supply Chain, Technology & Telco, Energy & Utilities, Media & Entertainment,Government & Public Sector, Education, or Hospitality & Travel. Familiarity with at least one ofour core capability areas - Modern Supply Chain & Operations, Finance AI, Growth & RevenueAI, Legal & HR Next, or Enterprise Office Transformation - is strongly preferred.Technical RequirementsMust-Have Skills● Tier 1: Data modeling (conceptual/logical/physical), SQL and query optimization, datawarehousing and lakehouse patterns, data governance frameworks, cloud dataplatform architecture (AWS/Azure/GCP), REST and event-driven integration patterns● Tier 2: Data mesh and data product design, metadata management and data catalogs,streaming and batch ingestion architecture, column-level lineage tooling, schemaregistry and schema evolution patternsNice-to-Have SkillsExposure to graph data models or knowledge graph concepts, semantic layer design, MLOpsdata contracts, federated query architecture, policy-as-code for data governance Logistics

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