Senior Data Architect EDW - 3pillarglobal

3Pillar is an AI transformation partner on a mission to help enterprises build the AI-native products and intelligent agents that will define the next era of business. With teams across North America, Europe, Latin America, and Asia, we work with the most ambitious companies in financial services, healthcare, media, and technology — helping them move faster, modernize boldly, and compete on their own terms. Our HelixAI platform and Helix Pods delivery model put our engineers at the center of real agentic transformation — doing work that is open, portable, and built to last. We are building the future of enterprise AI.

Senior Data Archtect (EDW)

Accomplished Tech Visionary:

Embark on an exciting journey with 3Pillar! We extend an invitation for you to join our team and gear up for a thrilling adventure.

We are seeking a Senior Enterprise Data Warehouse (EDW) / Architect with a proven record of owning and delivering enterprise-scale data and analytics solutions on mixed prem and cloud environments.

This is a hands-on architecture and delivery role requiring deep expertise across data warehousing, and business intelligence domains with clear evidence of end-to-end ownership from design through production and adoption. The successful candidate for this role is someone who has prior proven experience delivering Enterprise Data Warehouse (EDW) and Business Intelligence (BI) solutions end-to-end and is accountable for performance, scalability, and business impact.

You will lead the design and delivery of scalable, high-performance analytics platforms, while partnering with senior stakeholders and leading delivery teams.

Responsibilities:

Architecture & Solution Design

Architect & Design end-to-end EDW and BI solutions

Design and implement scalable dimensional data models (star schemas, fact/dimension design, conformed dimensions)

End-to-End Delivery Ownership

Own full lifecycle delivery: requirements → design → build → deploy → adoption → optimization & support

Ensure performance, scalability, and reliability across EDW and BI platforms

Drive cloud deployment and production readiness of analytics solutions

Take accountability for solution outcomes, adoption, and continuous improvement

Data Engineering & Integration

Translate business requirements into scalable data analytics solutions

Design and oversee scalable data pipelines (ETL/ELT) supporting enterprise analytics

Lead development of data transformation, cleansing, and enrichment processes

Implement data quality, validation, and monitoring frameworks

Integrate analytics data ingested across high-volume, multi-source environments (APIs, relational systems, SaaS, flat files, JSON/XML) and make it available for various data consumers

Integrate and enhance large scale BI solutions both on prem and in the