Senior Data Architect
Budget / Salary€47–53
TypeContract
LocationWorldwide
Posted3 hours ago
We are looking for SeniorData Architect for our Fortune 500 client and their insurance client. You'll own the data workstream inside a large-scale business and technology transformation programme - shaping the target data architecture, driving delivery, and keeping client stakeholders aligned from requirements to go-live.
This is a long-term remote-first contract position with a preferred location in Europe.
Responsibilities
Lead the end-to-end data workstream within a major transformation programme
Architect the integration layer powering reporting and analytics on the client's enterprise data platform
Scale the workstream and delivery team as programme scope grows
Partner directly with client programme leadership and senior business stakeholders to align priorities and unblock delivery
Drive requirements definition and solution design across the data landscape
Coordinate cross-functional teams spanning business and technology domains
Own risk, dependency, and governance management across the workstream
Work Conditions
Start Date: September
Location: Remote with occasional visits in Europe
Long-term contract based-role: 12+month
Requirements
Strong SQL skills for ETL, data modeling, and performance tuning.
Proven track record as a Data Architect, Data Delivery Lead, or Data Transformation Lead, delivering enterprise-scale data transformation
Experience leading complex programmes with multiple, often competing, stakeholders
Deep fluency in modern cloud-based data ecosystems
Consulting-grade communication — comfortable presenting to senior business and IT stakeholders alike
Experience managing distributed delivery teams
10+ years of experience in data engineering
Technical Requirements
Mandatory
AWS
Cloud Data Platforms
Data Lake / Lakehouse Architecture
Data Integration
Data Architecture
Reporting & Analytics
Nice to Have
Snowflake
Dataiku
Guidewire
Insurance industry experience
Highlights
If you are passionate about Data Engineering, cloud-native architectures, and fintech, this role with our client offers an exciting opportunity to work on impactful projects!
Originally posted on Himalayas
This is a long-term remote-first contract position with a preferred location in Europe.
Responsibilities
Lead the end-to-end data workstream within a major transformation programme
Architect the integration layer powering reporting and analytics on the client's enterprise data platform
Scale the workstream and delivery team as programme scope grows
Partner directly with client programme leadership and senior business stakeholders to align priorities and unblock delivery
Drive requirements definition and solution design across the data landscape
Coordinate cross-functional teams spanning business and technology domains
Own risk, dependency, and governance management across the workstream
Work Conditions
Start Date: September
Location: Remote with occasional visits in Europe
Long-term contract based-role: 12+month
Requirements
Strong SQL skills for ETL, data modeling, and performance tuning.
Proven track record as a Data Architect, Data Delivery Lead, or Data Transformation Lead, delivering enterprise-scale data transformation
Experience leading complex programmes with multiple, often competing, stakeholders
Deep fluency in modern cloud-based data ecosystems
Consulting-grade communication — comfortable presenting to senior business and IT stakeholders alike
Experience managing distributed delivery teams
10+ years of experience in data engineering
Technical Requirements
Mandatory
AWS
Cloud Data Platforms
Data Lake / Lakehouse Architecture
Data Integration
Data Architecture
Reporting & Analytics
Nice to Have
Snowflake
Dataiku
Guidewire
Insurance industry experience
Highlights
If you are passionate about Data Engineering, cloud-native architectures, and fintech, this role with our client offers an exciting opportunity to work on impactful projects!
Originally posted on Himalayas
Apply on Himalayas →
Job sourced from Himalayas. Applications happen directly on the original platform — we never collect your data.