Data Architect

Data Architect Job Description: 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. 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 architecturalconcerns Soft Skills & Culture Fit Client presence, ownership mindset, clear communicator, collaborative, intellectually curious, delivery-oriented, industry-adaptable Industry & Domain Exposure Candidates should have working experience or demonstrable exposure across industries like Financial Services, Insurance, Healthcare, Technology & Telco.

Technical Requirements: Must-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 patterns Nice-to-Have Skills Exposure to graph data models or knowledge graph concepts, semantic layer design, MLOpsdata contracts, federated query architecture, policy-as-code for data governance Logistics