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ALTIS

Senior Managing Consultant – Data Engineer, Databricks

ALTIS

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

Posted 9/24/2026full-timeSydney • AustraliaSeniorWebsite

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 pipelines, with a strong focus on Databricks, Snowflake, and Azure. Proven ability to translate complex business requirements into technical solutions while leading projects and mentoring teams.

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data ArchitectureData ModellingData IntegrationELT PatternsData QualityData GovernanceSustainable Engineering Practices
Soft Skills
Problem SolvingCommunicationMentoringRelationship Building
Tools & Technologies
DatabricksSnowflakeMicrosoft Azure
Industry Keywords
Data & AI ConsultingEngineering CultureTechnical JudgementAdvisory Experience

Tech Stack

Tools & technologies
AzureCloudSQL

About the role

Key responsibilities & impact
  • Design scalable data platforms, pipelines, integration and analytics solutions
  • Work across Databricks, Snowflake and the Microsoft/Azure ecosystem
  • Translate complex business requirements into clear technical solutions
  • Guide and mentor consultants
  • 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
  • Deliver Data & AI consulting 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 such as Databricks, Snowflake, Azure or comparable technologies
  • Databricks experience essential
  • SQL and modern data integration/ELT patterns
  • 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 communicate architecture with engineers and explain solution value to executive stakeholders

Benefits

Comp & perks
  • Ongoing learning and career development
  • Collaborative environment where employees are encouraged to challenge ideas and contribute
  • Flexible work through a hybrid model
  • Health and wellbeing support for you and your family
  • Paid parental leave
  • Reward and recognition program
  • Opportunity to work across varied and challenging Data & AI engagements
  • Learn from experienced specialists across consulting, engineering, analytics and AI