Data Engineering & Analytics

Job Title-Data Architect: We 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. Design conceptual, logical, and physical data models aligned to client business domains Define and enforce enterprise data architecture standards, patterns, and governance Lead data mesh design including domain ownership models, data product definitions, Architect data platform strategies covering ingestion, storage, transformation, serving, Develop data lineage, master data management (MDM), and metadata management Translate industry-specific regulatory, compliance, and operational data requirementsHIPAA for healthcare, PCI-DSS for financial services, Align data architecture to client capability priorities including Finance AI, Growth &Revenue AI, Supply Chain modernization, and Enterprise Office Transformationimplementation 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 architectural Candidates should have working experience or demonstrable exposure across industries like Financial Services, Insurance, Healthcare, Technology & Telco. Tier 1: Data modeling (conceptual/logical/physical), SQL and query optimization, data warehousing and lakehouse patterns, data governance frameworks, cloud data platform architecture (AWS/Azure/GCP), REST and event-driven integration patterns Tier 2: Data mesh and data product design, metadata management and data catalogs, Exposure to graph data models or knowledge graph concepts, semantic layer design, MLOps data contracts, federated query architecture, policy-as-code for data governance Logistics