Data Architect

Note: This is a remote position with occasional travel required across the East Coast and Central regions of the United States.Job Title-Data Architect Job 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 industries like Financial Services, Insurance, Healthcare, Technology & Telco.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