Senior Data Architect

Job Title-Data Architect
Location-  India

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 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 Logistics