Data Architect (EDW)

Senior Data Architect (EDW)

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.

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 cloud

Leadership & Stakeholder Engagement

• Facilitate architecture and technical design sessions
• Act as a trusted advisor bridging business strategy and technical delivery
• Lead and mentor BI developers, data engineers, and analysts

Governance & Best Practices

• Establish and enforce data governance, data stewardship, security, and reporting standards
• Define best practices across: data modeling, data engineering pipelines, visualization standards, performance optimization
• Deliver scalable, reusable, and enterprise-aligned solutions

Must-Have Requirements

• 15+ years in data architecture, or data engineering roles
• Proven experience owning and delivering enterprise EDW/BI solutions end-to-end
• Demonstrated accountability for full lifecycle delivery (design, build, deploy, optimize, adoption)
• Expertise in cloud platforms such as AWS Glue and Amazon Redshift
• Deep expertise in dimensional modeling (star schema, fact/dimension design)
• Strong hands-on SQL and data modeling skills