Data Architect (Telecom)
Data Architect Location: San-Francisco (On-site)
Type: C2CAbout the role
This is a hands-on, client-facing Data Architect role: you'll own the design of data mesh, platform strategy, and governance frameworks, then work shoulder-to-shoulder with engineering teams to make sure those designs actually ship as production systems, not just diagrams.
What you'll do:
- Design conceptual, logical, and physical data models aligned to client business domains
- Define and enforce enterprise data architecture standards, patterns, and governance frameworks
- Lead data mesh design, including domain ownership models, data product definitions, and federated governance
- Architect data platform strategies spanning ingestion, storage, transformation, serving, and consumption layers
- Build data lineage, master data management (MDM), and metadata management frameworks
- Aligned to client priorities like Finance AI, Growth & Revenue AI, Supply Chain modernization, and Telecom/Telco network & data modernization
- Validate architecture blueprints against engineering implementation realities and iterate
- Produce client-facing architecture decision records (ADRs), reference architectures, and roadmaps
- Drive data quality, observability, and SLA frameworks as core architectural deliverables
What we're looking for:
- Required (must-have):Telecom industry exposure — direct experience or demonstrable work in Telecom & Technology data environments
- Data modeling across conceptual, logical, and physical layers
- Strong SQL and query optimization skills
- Data warehousing and lakehouse architecture patterns
- Data governance framework design and enforcement
- Cloud data platform architecture (AWS, Azure, or GCP)REST and event-driven integration patterns
- Working experience or demonstrable exposure across 2+ served industries (Financial Services, Healthcare, Retail, Manufacturing, Technology/Telco, Energy, Media, Government, Education, Hospitality)
- Preferred (nice-to-have):Data mesh and data product design
- Metadata management and data catalogs
- Streaming and batch ingestion architecture
- Column-level lineage tooling, schema registry / schema evolution
- Graph data models, knowledge graph concepts, or semantic layer designMLOps data contracts, federated query architecture, policy-as-code for governance