Jobs at Altis Consulting

Delivers technical data and analytics solutions for clients under supervision. Responsibilities include building data pipelines and data stores, gathering requirements, designing databases and data models, developing reports, dashboards, visualizations, and insights, analyzing diverse data sources, testing solutions, supporting UAT, and providing post-production support.

Lead hands-on IT operations across Microsoft 365, Azure, endpoints, identity, networking, automation, cybersecurity, backup, disaster recovery, and business continuity. Administer cloud services, resolve complex escalations, improve support processes, automate repetitive tasks, manage patching and technology lifecycles, maintain documentation, support ISO 27001 compliance, and guide IT support activities. Collaborate with business leaders to ensure secure, reliable, scalable technology services.

Lead client-facing Data & Analytics engagements from discovery through delivery. Design scalable data engineering, warehousing, integration, BI, analytics, and cloud data solutions; translate complex requirements for diverse stakeholders; lead project teams, mentor consultants, manage governance and quality, advise clients, and support proposals and business growth.

Lead client relationships, business development, solution shaping, and consulting growth for Data and AI services in Queensland. The role develops opportunity pipelines, shapes commercially sound solutions, supports proposals and delivery, advises senior stakeholders, partners with vendors, and mentors consultants while strengthening Altis’s Brisbane market presence.

Lead end-to-end Data & Analytics consulting engagements, from discovery and solution design through delivery. Design scalable data warehouse, integration, BI, analytics, and engineering solutions; advise clients, translate technical concepts, lead project teams, mentor consultants, manage governance and quality, and support proposals and business growth. The role requires broad data expertise, client leadership, and Australian citizenship.

Lead modern Data & Analytics engagements from discovery through delivery while designing scalable cloud data solutions. Manage delivery teams, mentor consultants, advise senior client stakeholders, shape technical proposals, and contribute to consulting methodologies. The role requires hands-on expertise across data engineering, architecture, warehousing, integration, cloud platforms, dbt, ETL/ELT, BI, and technical project leadership.

Design and deliver modern data and analytics solutions for clients, including scalable data platforms, pipelines, data models, governance frameworks, and transformation integrations. The role combines hands-on data engineering with consulting, stakeholder engagement, technical advisory, and mentoring. Snowflake expertise is central, with opportunities to use Databricks, Microsoft Fabric, and AI-enabled engineering tools while contributing to the growth of the Adelaide practice.

Lead complex data and analytics consulting engagements, shape modern data platform architectures, advise clients on data strategy and delivery, oversee technical quality, mentor consultants, build senior stakeholder relationships, support business development, and help grow Altis’s New Zealand practice.

Design and deliver scalable data platforms, pipelines, integrations, and analytics solutions using Databricks, Snowflake, Azure, and related technologies. Translate business needs into technical solutions, lead projects or small teams, mentor consultants, engage stakeholders, contribute to proposals, and identify additional client value opportunities.

Designs and delivers modern data and analytics solutions for clients, including data pipelines, models, databases, integrations, dashboards, and visualisations. The role covers discovery through implementation, testing, deployment, support, and client adoption. It requires direct stakeholder engagement, technical solution design, strong SQL and data engineering practices, project planning, and knowledge transfer across varied cloud and client environments.