Cloud Data Delivery Lead for Analytics

Altis Consulting Pty Ltd; City of Melbourne; Hybrid; AUD 140,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Health and wellbeing support

Job summary

Altis Consulting Pty Ltd is seeking a Managing Consultant to bridge technical delivery and trusted client advisory in Australia. You’ll lead modern Data & Analytics engagements while staying close enough to the technology to challenge designs and shape architecture.

Take ownership with a view to influencing outcomes, mentoring teams, and shaping proposals. This role offers hybrid work with a strong emphasis on collaboration across data engineering, warehousing, integration, analytics and cloud

Qualifications

• Experience across data engineering, modelling and architecture.
• Ability to design scalable data and analytics solutions.
• Proven leadership of delivery teams and client engagement.

Responsibilities

• Lead Data & Analytics projects from discovery through delivery.
• Design modern, scalable data and analytics solutions.
• Work across data engineering, warehousing, integration, analytics and cloud platforms.
• Lead small-to-medium delivery teams.
• Coach and mentor other consultants.
• Engage directly with senior client stakeholders.
• Shape proposals and technical approaches.
• Contribute to Altis methodologies and capability development.

Skills

Modern data engineering

Data modelling & architecture

Data integration & ETL/ELT

BI & analytics ecosystems

Technical project leadership

Client-facing consulting

Tools

Snowflake

Databricks

Fabric

Azure

AWS

dbt

Job description

Altis Consulting Pty Ltd is seeking a Managing Consultant to bridge technical delivery and trusted client advisory in Australia. You’ll lead modern Data & Analytics engagements while staying close enough to the technology to challenge designs and shape architecture.

Take ownership with a view to influencing outcomes, mentoring teams, and shaping proposals. This role offers hybrid work with a strong emphasis on collaboration across data engineering, warehousing, integration, analytics and cloud