Offshore
Data Architect
Kore BPO places vetted offshore data architects globally across Asia, Latin America, and other strategic markets. Architects embed directly into your team and design production-grade data warehouses, lake architectures, and streaming pipelines — built for the scale your business is heading toward, not just where it is today.
The Data Architecture Problem That Compounds Every Quarter
Your data warehouse was designed for a business half the current size. Pipelines break under load, schemas are undocumented, and every new dashboard request requires a firefighting session before anyone can answer a simple question.
- Data warehouse schema built ad hoc — no star schema or medallion structure
- ETL pipelines that break silently and nobody notices until a report is wrong
- Real-time data needs unmet — everything runs in batch, hours behind
- No data catalog, no lineage — nobody knows where a number actually comes from
- Senior data architects onshore demand $170k–$260k+ in total compensation
- Hiring timelines for Snowflake and Databricks architects stretch 4–6 months
- Data engineers asked to design architecture they weren't trained to own
- Consulting firms design the platform and keep all the institutional knowledge
Bad data architecture doesn't announce itself. It shows up as slow queries, broken trust in dashboards, and analysts spending 80% of their time cleaning data instead of using it. The fix isn't more engineers on a bad foundation — it's one architect who designs it right the first time.
Offshore Data Architecture Works When It's Structured
Kore BPO vets for real data architecture depth — not just familiarity with tools. We screen for data modeling expertise, platform design experience, and the ability to own complex data systems across cloud warehouses, lakehouse architectures, and real-time streaming environments. Every candidate is aligned to your stack before the first interview.
Every candidate goes through:
- Data modeling assessment — star schema, snowflake schema, OBT, and medallion
- Cloud warehouse depth review — Snowflake, BigQuery, or Redshift architecture
- Pipeline design evaluation — batch, micro-batch, and streaming patterns
- Data governance and lineage tooling review — cataloging and access control
- Stakeholder communication screen — translating architecture to business context
Platform & Toolchain Coverage
A Simple 3-Step Plan
A clear process that removes the offshore guesswork — from auditing your current data stack to your first redesigned data layer running in production.
Define Your Architecture Needs
- Current warehouse, lakehouse, or hybrid data platform in use
- Batch vs. real-time streaming requirements and latency targets
- Data volume, growth trajectory, and query performance bottlenecks
- Governance, lineage, and compliance requirements
- Seniority level, domain expertise, and time zone overlap needed
Clear scope prevents platform redesigns six months in.
Meet Vetted Candidates
- Shortlisted, pre-vetted offshore data architects
- Platform certifications and modeling depth documented
- Architecture samples or data model portfolios reviewed
- Resumes delivered within 2–5 business days
You choose who designs your data platform.
Launch With a Structured Ramp
- 30-60-90 day architecture delivery milestones defined upfront
- Read access provisioned for audit — write access scoped before any changes
- First architecture assessment or data model delivered and reviewed
- Architecture decision records documented from week one
We don't leave data platform onboarding to chance.
What an Offshore Data Architect From Kore BPO Actually Delivers
Most providers stay vague on deliverables. Here's what data platform ownership looks like in practice.
This isn't data engineering. It's platform design that makes every engineer faster.
The 30-60-90 Day Execution Framework
You see documented architecture decisions early. Platform performance, governance maturity, and data trust compound month over month.
- Read-only data platform access provisioned with audit logging
- Full audit of existing warehouse schema, pipelines, and data quality
- Architecture assessment delivered — gaps, risks, and quick wins documented
- Target state architecture proposal presented to stakeholders
- Core data models redesigned and validated against business requirements
- First ELT pipelines rebuilt or refactored with dbt or Spark
- Data catalog and lineage tooling implemented or configured
- RBAC and access governance policies documented and enforced
- Full ownership of data platform architecture decisions
- Streaming or real-time layer underway if scoped
- Query performance benchmarks met, cost controls active
- Platform runbooks and architecture decision records complete
Global Data Architecture Talent. Structured Delivery.
We place offshore data architects across Asia, Latin America, Europe, and other strategic markets — aligned to your time zone, data platform stack, and architecture priorities.
Dedicated Data Architect
One offshore data architect fully embedded in your team. Full-time, long-term, accountable to your platform roadmap and architecture standards — owning design decisions across your entire data stack.
Platform Build Pod
A senior data architect paired with a data engineer. Best for teams building or migrating a data platform from scratch — one person designs it right, the other builds it fast, and both stay to maintain it.
Fractional Chief Data Architect
A part-time senior architect for platform strategy, architecture reviews, and technical governance. Works alongside your existing data team without the full-time overhead of a principal-level onshore hire.
Common Use Cases
Most clients engage when their data platform has outgrown its original design, a cloud migration is stalling, or engineers are spending more time fixing pipelines than building new ones.
Data Warehouse Design
Lakehouse Architecture
Real-Time Streaming
Data Modeling & Schema Design
Data Governance & Lineage
ELT Pipeline Architecture
Master Data Management
Cloud Data Platform Migration
Security and Governance Designed Into the Platform
A data architect has broad access to your most sensitive business data — schemas, customer records, financial tables, and production pipelines. Our model builds security into the engagement structure, not as an afterthought. Your data platform and IP remain under your control. Always.
Read-only access during audit phase — Architects begin with read-only access scoped to relevant schemas. Write access is provisioned incrementally as platform ownership is established and verified.
Secure device and VPN requirements — Enforced across all offshore architects before any warehouse connection, pipeline access, or data catalog query is permitted.
RBAC and row-level security design — Architects implement access governance as part of the platform design — not as a separate compliance exercise bolted on after the build.
NDA and platform IP ownership structures — All schemas, models, pipelines, and architecture documentation produced belong to your organization, with clear IP assignment from day one.
Offshore Data Architect vs The Alternatives
This isn't about getting a cheaper data engineer. It's about hiring the person who designs the platform right — without the onshore salary or consulting firm markup making it impossible to budget.
| Factor | Kore BPO Offshore | Onshore Hire | Data Consulting Firm |
|---|---|---|---|
| Cost | Competitive global cost structure | $170k–$260k+ total compensation | High day rates, SOW billing |
| Placement Timeline | Resumes in 2–5 days, placed in 2–4 weeks | 4–6 month hiring cycle | Discovery and scoping takes weeks |
| Onboarding | Structured 30-60-90 day audit-to-design ramp | Internal process, often unstructured | Discovery phase billed at project rates |
| Accountability | Architecture milestones defined from day 1 | High — internal team member | Deliverable-based, scope creep risk |
| IP & Documentation | All schemas and ADRs owned by you | Full internal ownership | Methodology and patterns retained by firm |
| Long-Term Continuity | Retained architect knows your full platform | High if retention is managed | Project ends, institutional knowledge leaves |
Why Offshore Data Architecture Fails — And How We Prevent It
Offshore architecture engagements fail for predictable reasons. We've built our process to prevent each one before it compounds into a platform you have to rebuild.
Why Offshore Fails
- Architect given broad write access to production before earning it
- Design decisions made without understanding the business context
- Architecture documented in the architect's head, not in shared ADRs
- No stakeholder reviews — platform built for engineers, not analysts
- No handoff — platform knowledge walks out when the engagement ends
How Kore BPO Prevents It
- Read-only audit phase before any production write access is granted
- Business context alignment required before modeling begins
- Architecture decision records maintained from the first design session
- Stakeholder reviews built into the 30-60-90 day delivery framework
- Platform runbooks and replacement continuity included in every engagement
Build a Data Platform You Can Trust
You don't need another pipeline fix. You need a dedicated data architect who designs the foundation right, documents every decision, and stays long enough to see the platform scale.
Schedule a Consultation