3Pillar Global

Full-stack Engineer

• End-to-End Delivery: Build, configure, and extend applications on the Unqork platform, owning feature delivery from technical design to a successful launch. Identify opportunities and design solutions that positively impact customer adoption.
• Client Leadership & Stakeholder Management: Serve as the primary technical contact for client stakeholders during US business hours. Navigate dynamics with professionalism, managing expectations and executive-level communication with senior client leadership.
• Architectural Collaboration: Collaborate closely with the Architect to implement designs and architectural decisions, escalating risks or blockers proactively while ensuring solutions align with scalable BFF (Backend-for-Frontend)/proxy architectures.
• Global Team Coordination: Coordinate with distributed, offshore development team members across multiple time zones, providing crucial context, guidance, and thorough code/configuration reviews.
• Agile Execution & Documentation: Participate actively in Agile ceremonies and sprint planning. Contribute to technical artifacts and knowledge transfer materials to ensure long-term project sustainability.

Senior Software Engineer – Low Code / No Code

Software Engineer

• Build, configure, and extend applications on the Unqork platform, owning feature delivery from technical design to a successful launch. Identify opportunities and design solutions that positively impact customer adoption.
• Serve as the primary technical contact for client stakeholders during US business hours. Navigate dynamics with professionalism, managing expectations and executive-level communication with senior client leadership.
• Collaborate closely with the Architect to implement designs and architectural decisions, escalating risks or blockers proactively while ensuring solutions align with scalable BFF (Backend-for-Frontend)/proxy architectures.
• Coordinate with distributed, offshore development team members across multiple time zones, providing crucial context, guidance, and thorough code/configuration reviews.
• Participate actively in Agile ceremonies and sprint planning. Contribute to technical artifacts and knowledge transfer materials to ensure long-term project sustainability.

Unqork Developer, Unqork Engineer – Low Code, No Code

Unqork Developer – Low Code, No Code

Cloud Engineer

• Understand client requirements and lead the creation of robust data platforms leveraging Data Lakehouse architectures, serving as the primary subject matter expert for the Azure data ecosystem (Microsoft Fabric, Azure SQL, and Power BI).
• Design and implement scalable data models, ETL/ELT pipelines, and analytics layers using modern cloud ecosystems.
• Architect Microsoft Fabric reporting solutions, establishing medallion layering, managing capacity planning, ensuring freshness governance, and configuring CDC/mirroring from Azure SQL into Fabric.
• Enforce strict data-layer segregation ensuring PII is excluded by construction, maintaining multi-tenant isolation within the analytics layer, and strictly adhering to 10+ year regulated data retention policies.
• Lead complex migration efforts off legacy systems (e.g., AirTable, Smartsheet) to Microsoft Fabric, effectively managing mid-program form and rule drift, and establishing reliable, per-client export channels.
• Lead end-to-end analytics projects — from requirement gathering to deployment.
• Mentor junior team members, perform code reviews, and ensure adherence to quality standards. Work closely with cross-functional teams (engineering, product, business) to align data strategy with business goals.
• Develop and optimize complex SQL queries, Power BI semantic models, dashboards, and reports (transitioning from legacy LookML/BigQuery paradigms).
• Troubleshoot performance bottlenecks, data inconsistencies, and integration challenges.
• Stay up to date with advancements in the analytics and cloud data ecosystem.
• Drive innovation in reporting and analytics capabilities. Recommend and implement new tools, frameworks, and practices to enhance the data platform.
• Define best practices, coding standards, and governance for analytics projects.
• Monitor data systems performance and implement optimization strategies.
• Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.
• Build and oversee AI-ready data pipelines, focused on feeding scrubbed, segmented data to assistive AI (embeddings, vector stores, and feature stores) and integrating GenAI into analytics and data products.
• Drive adoption of AI-assisted data engineering across the team: copilots for SQL/transformation/pipeline code, plus automated testing and documentation.
• Define governance and quality standards for data consumed by LLMs and agents.

Lead Data Engineer, Azure

• Understand client requirements and lead the creation of robust data platforms leveraging Data Lakehouse architectures, serving as the primary subject matter expert for the Azure data ecosystem (Microsoft Fabric, Azure SQL, and Power BI).
• Design and implement scalable data models, ETL/ELT pipelines, and analytics layers using modern cloud ecosystems.
• Architect Microsoft Fabric reporting solutions, establishing medallion layering, managing capacity planning, ensuring freshness governance, and configuring CDC/mirroring from Azure SQL into Fabric.
• Enforce strict data-layer segregation ensuring PII is excluded by construction, maintaining multi-tenant isolation within the analytics layer, and strictly adhering to 10+ year regulated data retention policies.
• Lead complex migration efforts off legacy systems (e.g., AirTable, Smartsheet) to Microsoft Fabric, effectively managing mid-program form and rule drift, and establishing reliable, per-client export channels.
• Lead end-to-end analytics projects — from requirement gathering to deployment.
• Mentor junior team members, perform code reviews, and ensure adherence to quality standards.**Work closely with cross-functional teams (engineering, product, business) to align data strategy with business goals.
• Develop and optimize complex SQL queries, Power BI semantic models, dashboards, and reports (transitioning from legacy LookML/BigQuery paradigms).
• Troubleshoot performance bottlenecks, data inconsistencies, and integration challenges.
• Stay up to date with advancements in the analytics and cloud data ecosystem.
• Drive innovation in reporting and analytics capabilities.**Recommend and implement new tools, frameworks, and practices to enhance the data platform.
• Define best practices, coding standards, and governance for analytics projects.
• Monitor data systems performance and implement optimization strategies.
• Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.
• Build and oversee AI-ready data pipelines, focused on feeding scrubbed, segmented data to assistive AI (embeddings, vector stores, and feature stores) and integrating GenAI into analytics and data products.
• Drive adoption of AI-assisted data engineering across the team: copilots for SQL/transformation/pipeline code, plus automated testing and documentation.
• Define governance and quality standards for data consumed by LLMs and agents.

Technical Project Manager

• Be the technical resource for live Customers within your portfolio
• Understand the data schema of your customer, integration points, Data Flows, BRD, and SDD
• Share technical best practices and proactive recommendations that will benefit the customers like ongoing usage of the platform and achievement of their goals.
• Conduct technical discovery with customer marketing and technical teams to drive expanded use of the platform and/or new integrations.
• Participate in technical account health status reviews, including issuing an executive-level summary status reports both internally and to customers.

Technical Account Manager – Delivery Manager

Backend Engineer

• Craft client code that is not just efficient but also performant, testable, scalable, secure, and of the highest quality.
• Provide accurate status tracking, reporting, and estimation using project methods and tools.
• Gather requirements, validate their understanding amongst the team, and create and maintain relevant documentation.
• Execute activities within the current methodology and uphold the highest quality standards.
• Foster collaboration with fellow engineers, designers, and managers to comprehend user pain points and iterate on solutions that drive client success.
• Take ownership of projects, from technical design to a successful launch.

Software Engineer – C/C++/Linux

Manager

• 3Pillar is an AI transformation partner on a mission to help enterprises build AI-native products.
• Build high-performing product development teams that delight clients through governance oversight.
• Ensure excellence within product delivery and drive accountability for client satisfaction.
• Lead a globally distributed team collaborating with various stakeholders.
• Measure success through a Delivery scorecard tied to client satisfaction and account outcomes.

Manager, Product Development

• steering projects that redefine urban living
• establishing new media channels for enterprise companies
• driving innovation in healthcare
• shaping the future direction of endeavors
• orchestrating technological marvels that disrupt industries

Senior Data Engineer, Snowflake, Python

Technical Program Manager

• Strategic Client Engagement: Masterfully navigate complex client interactions and co-build agile team structures to ensure project success. You'll serve as a trusted advisor to our clients, understanding their needs deeply and aligning our efforts to their business outcomes.
• Global Project Leadership: Lead global projects and program-level engagements with multiple, cross-functional teams. Your expertise will guide the most complex engagements, integrating multiple work streams and practice areas to deliver cohesive and impactful solutions.
• Managerial Leadership: Provide supervision, mentorship, and growth opportunities for managers within your engagements or practice area. Your leadership will empower other managers to excel and drive their teams toward excellence.
• Agile Excellence: Utilize your full-cycle product development expertise and deep understanding of Agile methodologies to drive team efficiency and product quality. Ensure proper account governance and risk management strategies are in place and effectively executed.
• Delivery and Execution: Demonstrate your ability to manage complex solutions and multi-workstream engagements. Plan, resource, and deliver projects with a data-minded and methodical approach, ensuring accountability across all stages of work.

• Masterfully navigate complex client interactions and co-build agile team structures to ensure project success.
• Lead global projects and program-level engagements with multiple, cross-functional teams.
• Provide supervision, mentorship, and growth opportunities for managers within your engagements or practice area.
• Utilize your full-cycle product development expertise and deep understanding of Agile methodologies to drive team efficiency and product quality.
• Demonstrate your ability to manage complex solutions and multi-workstream engagements. Plan, resource, and deliver projects with a data-minded and methodical approach, ensuring accountability across all stages of work.