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ALTIS

Managing Consultant – Data Engineer

ALTIS

. Design scalable data platforms, pipelines, integration and analytics solutions .

Posted 9/29/2026full-timeSydney • AustraliaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing scalable data platforms and analytics solutions using modern cloud technologies such as Databricks and Snowflake. Proven ability to translate complex business requirements into technical solutions while fostering strong relationships with stakeholders.

Highest-signal resume keywords
Data EngineeringDatabricks ExperienceSQL ProficiencyCloud Data PlatformsClient-Facing Delivery

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ArchitectureData ModellingData IntegrationELT PatternsData QualityGovernance PracticesSustainable EngineeringProject LeadershipTechnical JudgementProblem Solving
Soft Skills
MentoringRelationship BuildingConsultingAdvisory SkillsCommunication
Tools & Technologies
DatabricksSnowflakeMicrosoft Azure
Industry Keywords
Data & AI EngagementsEngineering CultureStakeholder EngagementSolution Shaping

Tech Stack

Tools & technologies
AzureCloudSQL

About the role

Key responsibilities & impact
  • Design scalable data platforms, pipelines, integration and analytics solutions
  • Work across modern cloud technologies including Databricks, Snowflake and the Microsoft/Azure ecosystem
  • Translate complex business requirements into clear technical solutions
  • Guide and mentor consultants and contribute to a strong engineering culture
  • Build trusted relationships with technical and business stakeholders
  • Identify opportunities to create additional value for clients
  • Contribute to proposals and solution shaping
  • Work across varied and challenging Data & AI engagements

Requirements

What you’ll need
  • Strong experience across data engineering, architecture or analytics consulting
  • Comfortable operating directly with clients
  • Experience with modern data engineering and data modelling
  • Experience with cloud data platforms including Databricks, Snowflake, Azure or comparable technologies
  • Databricks experience essential
  • Experience with SQL and modern data integration/ELT patterns
  • Experience with data quality, governance and sustainable engineering practices
  • Experience leading projects or small technical teams
  • Consulting, advisory or client-facing delivery experience
  • Strong foundations, sound technical judgement and ability to learn
  • Ability to solve ambiguous problems and challenge thinking respectfully
  • Ability to discuss architecture with engineers and explain solution value to executive stakeholders

Benefits

Comp & perks
  • Ongoing learning and career development
  • Collaborative environment where you're encouraged to challenge ideas and contribute your own
  • Flexible work through a hybrid model
  • Health and wellbeing support for you and your family
  • Paid parental leave
  • Reward and recognition program