Summary
What you’ll impact
The Data Architect will lead enterprise data architecture engagements, designing and delivering scalable, governed, and future‑ready data solutions for clients across multiple industries. This client‑facing role involves creating data models, platform strategies, and data mesh designs while collaborating with engineering teams to ensure production‑grade implementations.
Responsibilities
What you'll do
- Design conceptual, logical, and physical data models aligned to client business domains and operational requirements
- Define and enforce enterprise data architecture standards, patterns, and governance frameworks 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 management frameworks
- Translate industry-specific regulatory, compliance, and operational data requirements into 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 against implementation realities and adjust designs accordingly
- Produce client-facing architecture decision records (ADRs), reference architectures, and data strategy roadmaps
- Drive data quality, observability, and SLA frameworks as first-class architectural concerns
Requirements
What you’ll bring
- Hands‑on Data Architect with strong engineering sensibilities
- Client presence, ownership mindset, clear communicator, collaborative, intellectually curious, delivery‑oriented, industry‑adaptable
- 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, streaming and batch ingestion architecture, column‑level lineage tooling, schema registry and schema evolution patterns
- Must be able to travel occasionally across the East Coast and Central regions of the United States
- Remote position