Offshore Roles

Offshore
Data Architect

Design the data platform your business decisions actually need

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.

See Resumes in 2–5 Days See How It Works

No upfront fees — you pay only when you hire

2–5 Days

To Resumes

60–70%

Cost Savings

257

Happy Clients

Offshore data architect reviewing data warehouse schema — Kore BPO

Average placement timeline

2 to 4 weeks

The Problem

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.

Platform Problems

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

Hiring Problems

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

The Real Issue

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 architect explaining pipeline architecture — Kore BPO

Our Approach

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

Snowflake

BigQuery / Redshift

Databricks

dbt / dbt Cloud

Apache Spark

Kafka / Kinesis

Airflow / Prefect

Delta Lake / Iceberg

PostgreSQL / MySQL

A Simple Plan

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.

Execution

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.

Design cloud data warehouse schemas — star, snowflake, and OBT patterns

Architect medallion lakehouse layers — bronze, silver, and gold zones

Design and build ELT pipelines with dbt, Spark, or native warehouse tools

Implement real-time streaming architectures with Kafka or Kinesis

Build data catalog, lineage tracking, and metadata management systems

Design RBAC, row-level security, and data access governance policies

Optimize warehouse performance — partitioning, clustering, and query tuning

Audit and reduce warehouse compute costs through smart architecture

Design master data management and data quality frameworks

Document data models, architecture decisions, and platform runbooks

This isn't data engineering. It's platform design that makes every engineer faster.

Data architecture team reviewing Snowflake platform design — Kore BPO

Execution Framework

The 30-60-90 Day Execution Framework

You see documented architecture decisions early. Platform performance, governance maturity, and data trust compound month over month.

0–30 Days

Audit

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

30–60 Days

Design

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

60–90 Days

Ownership

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 Talent

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

Data Security & Governance

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.

Data governance and catalog management — Kore BPO

How We Compare

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

Risk Management

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

No upfront fees · Resumes in 2–5 days · US owned & operated

OffshoreData Architect