Data Architect

Job Description

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Note: This is a remote position with occasional travel required across the East Coast and Central regions of the United States.

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Job Title-Data Architect

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Job Description

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We are seeking a hands-on Data Architect with strong engineering sensibilities to lead enterprise data architecture engagements at client sites.

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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.

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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.

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Key Responsibilities

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● Design conceptual, logical, and physical data models aligned to client business domains

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and operational requirements

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● Define and enforce enterprise data architecture standards, patterns, and governance

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frameworks across client environments

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● Lead data mesh design including domain ownership models, data product definitions,

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and federated governance patterns

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● Architect data platform strategies covering ingestion, storage, transformation, serving,

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and consumption layers

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● Develop data lineage, master data management (MDM), and metadata management

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frameworks

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● Translate industry-specific regulatory, compliance, and operational data requirements

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into architecture decisions (e.g., HIPAA for healthcare, PCI-DSS for financial services,

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CMMC for defense)

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● Align data architecture to client capability priorities including Finance AI, Growth &

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Revenue AI, Supply Chain modernization, and Enterprise Office Transformation

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● Collaborate with engineering teams to validate architecture blueprints against

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implementation realities and adjust designs accordingly

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● Produce client-facing architecture decision records (ADRs), reference architectures, and

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data strategy roadmaps

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● Drive data quality, observability, and SLA frameworks as first-class architectural

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concerns

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Soft Skills & Culture Fit

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Client presence, ownership mindset, clear communicator, collaborative, intellectually curious,

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delivery-oriented, industry-adaptable

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Industry & Domain Exposure

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Candidates should have working experience or demonstrable exposure across industries like Financial Services, Insurance, Healthcare, Technology & Telco.

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Technical Requirements

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Must-Have Skills

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● Tier 1: Data modeling (conceptual/logical/physical), SQL and query optimization, data

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warehousing and lakehouse patterns, data governance frameworks, cloud data

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platform architecture (AWS/Azure/GCP), REST and event-driven integration patterns

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● Tier 2: Data mesh and data product design, metadata management and data catalogs,

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streaming and batch ingestion architecture, column-level lineage tooling, schema

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registry and schema evolution patterns

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Nice-to-Have Skills

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Exposure to graph data models or knowledge graph concepts, semantic layer design, MLOps

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data contracts, federated query architecture, policy-as-code for data governance Logistics

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