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Data Warehouse Architect

MEDIUM DemandLOW AI RiskGROWING in SL· Rs.170k+ /mo

Ideal for data engineers who want to move up to architecture, designing the foundations that power all analytics and AI in an organisation.”

About This Role

Designing large-scale storage systems for high-performance data retrieval.

A Day in the Life

Design and build enterprise data warehouse infrastructure, define data models, integrate multiple data sources, and ensure data is reliable and accessible for analytics.

  • Design star and snowflake schema data models
  • Architect cloud or on-premises data warehouse
  • Develop and optimise ETL/ELT pipelines
  • Define data governance standards
  • Collaborate with BI and data science teams
  • Manage data warehouse performance tuning
  • Migrate legacy data systems to cloud platforms
  • Document data architecture and lineage

Work Environment

HYBRIDTeam: SMALLBUSINESS CASUALRemote: HIGH

Technical architecture role with significant design responsibility. Works with senior data engineers, architects, and BI teams.

Typical hours: 45h/week · WLB score 7/10 · OCCASIONAL overtime

Migration projects can be intense. Day-to-day architecture work is well-paced.

Skills Required

Technical Skills

Data WarehousingETL DevelopmentSQL DatabaseApache SparkAWSMicrosoft AzureGoogle Cloud (GCP)

Soft Skills

Analytical ThinkingAttention to DetailCommunication SkillsProblem Solving

Tools & Software

SnowflakeAWS RedshiftAzure SynapsedbtApache AirflowSparkPostgreSQLLooker

Salary in Sri Lanka (LKR / month)

Entry LevelRs.100k – Rs.150k/mo
Mid-LevelRs.170k – Rs.270k/mo
SeniorRs.270k – Rs.500k/mo
Entry: Data EngineerMid: Senior Data Engineer / DW ArchitectSenior: Lead Data Warehouse Architect

Typical progression: 4yr to mid · 8yr to senior

Start as data engineer, develop deep data modelling expertise, progress to architect designing enterprise-scale data platforms.

Global Salary (USD / year)

Entry Level$5k – $8k/yr
Mid-Level$10k – $18k/yr
Senior$18k – $35k/yr

Top Markets

USAUKAustraliaUAESingapore

Market Outlook

GROWING

Cloud data warehouse migration projects creating strong demand for architects in Sri Lanka.

Hiring: MEDIUM

VirtusaWSO2IFSDialog AxiataCommercial Bank99x Technology

GROWING

One of the most in-demand data roles globally as enterprises move to cloud data lakes and warehouses.

Entry Requirements

Sri Lanka

Min. EducationDegree
Experience3+ years data engineering

Preferred

B.Sc. ITAWS Data AnalyticsDP-203dbt Certification

Global

Min. EducationDegree
Experience5+ years data engineering

Preferred

AWS Data Analytics SpecialtyGoogle Professional Data EngineerDP-203

Helpful Certifications

AWS Certified Data AnalyticsDP-203 Azure Data EngineerGoogle Professional Data Engineerdbt Certification

Entrepreneurship & Freelancing

Freelance: HIGHRemote: HIGHCapital: LOW

Freelance earnings: $50–$150/mo (USD)

Platforms (SL)

UpworkLinkedIn

Business Ideas

  • Data engineering consultancy
  • Cloud migration firm
  • Data platform SaaS

Side Income Ideas

Freelance data architectureCloud data consultingOnline data engineering courses

Strong remote freelance market for cloud data architects.

Risks & Challenges

AI Replacement Risk

LOW

LONG TERM

Burnout Risk

LOW

Job Security (SL)

HIGH

Architecture decisions require deep human expertise. AI-assisted development is a tool, not a replacement.

Burnout Causes

Large-scale migration complexityTechnical debt in legacy systems

Physical Health Risks

Sedentary work

Mental Health Risks

Complexity pressure from large systems

How to Mitigate

  • Get cloud data certifications (AWS/Azure/GCP)
  • Learn dbt and modern data stack
  • Build Snowflake or Redshift expertise

Is This Career For You?

Data engineers looking to grow into senior architect roles designing enterprise-scale data platforms.

Personality Types

INTJISTJINTP

Core Motivations

Building reliable data foundationsDesigning elegant data architecture

What You'll Love

  • High salaries
  • Critical infrastructure ownership
  • Strong remote work potential

What's Challenging

  • Legacy system complexity
  • Scale and performance challenges

How to Qualify in Sri Lanka

View all paths →

At a Glance

SL Salary (entry)Rs.100k – Rs.150k/mo
SL Salary (senior)Rs.270k – Rs.500k/mo
Global (senior)$18k – $35k/yr
SL DemandGROWING
WLB Score7/10
Hours/week~45h
Remote WorkHIGH

AI Replacement Risk

LOW

LONG TERM

Sectors

Private

Reviews & Ratings

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Frequently Asked Questions

Design and build enterprise data warehouse infrastructure, define data models, integrate multiple data sources, and ensure data is reliable and accessible for analytics.

To become a Data Warehouse Architect in Sri Lanka, you typically need Degree. Relevant degree programmes include: Information Communication Technology, Information Communication Technology. Explore step-by-step career roadmaps contributed by Sri Lankan Data Warehouse Architects at paths.lk/career-paths/data-warehouse-architect.

In Sri Lanka, a Data Warehouse Architect earns LKR 100k–LKR 150k/month at entry level, LKR 170k–LKR 270k/month at mid-level, and LKR 270k–LKR 500k/month at senior level. Globally, experienced Data Warehouse Architects earn USD 35k+/year.

Key skills for a Data Warehouse Architect in Sri Lanka: Data Warehousing, ETL Development, SQL Database, Apache Spark. Important soft skills: Analytical Thinking, Attention to Detail, Communication Skills. Tools and software: Snowflake, AWS Redshift, Azure Synapse, dbt.

Start as data engineer, develop deep data modelling expertise, progress to architect designing enterprise-scale data platforms.

Cloud data warehouse migration projects creating strong demand for architects in Sri Lanka.

Ideal for data engineers who want to move up to architecture, designing the foundations that power all analytics and AI in an organisation.

Yes — Data Warehouse Architects have high freelance potential. Data Warehouse Architects can earn USD 50–150/month freelancing. Common platforms: Upwork, LinkedIn.

Technical architecture role with significant design responsibility. Works with senior data engineers, architects, and BI teams.