We are seeking a highly experienced Technology Architect to define and govern the organization's Technology Architecture and target technology landscape. The role is responsible for establishing technology standards, principles, platforms, and strategic technology capabilities while ensuring alignment with Enterprise Architecture and business objectives. The Technology Architect will assess the current technology landscape, identify gaps and modernization requirements, define technology roadmaps, and evaluate emerging technologies to support the organization's long-term technology strategy. The role will work closely with Application, Data, Infrastructure, Security, and Enterprise Architects and will contribute to technology governance and strategic technology decisions within a highly regulated banking environment.

YOU WILL

We are looking for a Solution Architect to own the technical shape of complex, multi-service platform solutions from vision through to delivery.

This role sits between business intent and engineering execution. You will translate requirements into a coherent architecture, make and defend the decisions that constrain how the system is built, and stay engaged through implementation to ensure what ships matches what was designed. The ideal candidate is a hands-on architect — comfortable in a client workshop in the morning and in a design review with engineers in the afternoon — who thinks in trade-offs rather than absolutes.

We are seeking an Enterprise Solution Architect to translate business requirements and Enterprise Architecture principles into secure, scalable, and end-to-end technology solutions. The role will define solution architecture across application, data, integration, security, and infrastructure domains while ensuring alignment with the organization's target architecture, standards, and regulatory requirements. The Enterprise Solution Architect will work closely with Business Architects, Application Architects, Data Architects, Security Architects, Infrastructure Architects, and technical teams to support transformation, modernization, and application rationalization initiatives.

YOU WILL

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Tiger Analytics is looking for an experienced Lead Data Engineer to design, build, and optimize scalable data platforms and real-time data solutions. The ideal candidate will have strong hands-on expertise in Python, SQL, cloud platforms, distributed data processing, streaming technologies, and modern cloud data warehouses.

Key Responsibilities:

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

An ideal candidate should have experience leading migration of multiple LaTAm applications from sector-specific data lakes to an enterprise data foundation/platform, while coordinating stakeholders, managing delivery, and providing enough technical depth to understand Databricks, SQL, Python, Azure, and analytics-related challenges.

Responsibilities:

About the role

Azumo is hiring a Sales Executive to originate new AI and ML services engagements with enterprise and mid-market companies across the US and Canada. Over 80% of our new revenue now comes from AI-driven projects, and we need a seller who can identify the right opportunities, navigate technical buying committees, and close deals with real engineering scope.

This is a hunter role. You will own pipeline generation, qualification, and close. You will work alongside our engineering leadership on technical discovery and proposal development. You will sell into CTOs, VPs of Engineering, Heads of Data, and their teams.

What you'll do

Originate new AI and ML services opportunities through targeted outbound, warm introductions, partner referrals, and inbound lead follow-up

Build and manage a qualified pipeline across enterprise and mid-market accounts in the US and Canada

Run technical discovery in partnership with our solutions and engineering leadership, converting business problems into defensible engagement scopes

Shape proposals, SOWs, and commercial terms that reflect the real complexity of AI implementation work

Navigate multi-stakeholder buying processes involving technical evaluators, finance, legal, and executive sponsors

Maintain accurate forecasting and pipeline hygiene in HubSpot