Data Architect (Hands-on with Engineering Skills)

JobDescription

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 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

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 2 or more of our served industries: Financial Services, Healthcare & Life Sciences, Retail & Consumer Goods, Manufacturing & Supply Chain, Technology & Telco, Energy & Utilities, Media & Entertainment, Government & Public Sector, Education, or Hospitality & Travel. Familiarity with at least one of our core capability areas - Modern Supply Chain & Operations, Finance AI, Growth & Revenue AI, Legal & HR Next, or Enterprise Office Transformation - is strongly preferred.

Technical Requirements- Must-Have Skills

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

Nice-to-Have Skills

Exposure to graph data models or knowledge graph concepts, semantic layer design, MLOps data contracts, federated query architecture, policy-as-code for data governance