Lead Principal Analytics Engineer - AI Data Architect

Mantel

Sydney

Hybrid

AUD 180,000 - 280,000

Full time

4 days ago
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Benefits offered by this job

My Deal program
Mantel AI Gateway access
Flexible Personal Leave
Family Inclusive Workplace
Hybrid working model

Job summary

Mantel is a leading Australian-owned IT Professional Services consultancy focused on AI, cloud, data, and security. As a Principal Analytics Engineer, you will shape Mantel’s data landscape, drive strategic analytics initiatives, and influence at executive levels across client engagements.

You will lead complex data projects, define DataOps standards, and advance AI capabilities while growing commercial opportunities and guiding client demonstrations and proposals.

Qualifications

  • Extensive consulting experience influencing leadership at senior levels.
  • Strong data stack knowledge: Snowflake, Databricks, dbt.
  • Hands-on expertise with Databricks and Snowflake ecosystems.
  • Experience with large engagements and complex requirements.
  • Proven ability to own sales proposals, RFQs, RFPs, and SOWs.
  • Excellent leadership and communication skills.

Responsibilities

  • Lead architectural vision for complex, concurrent data projects.
  • Define standards for DataOps, modelling patterns, semantic layer.
  • Roadmap AI capabilities for Agentic AI and LLM integration.
  • Lead pre-sales activities including demos and RFQs/RFPs/SOWs.
  • Mentor teams and drive AI initiatives across capabilities.

Skills

Consulting experience
Leadership
Data stack
Databricks
Snowflake
dbt
Sales proposals
Communication
Client engagement

Tools

Databricks
Snowflake
dbt
Python
SQL

Job description

Mantel is a leading Australian-owned IT Professional Services consultancy focused on AI, cloud, data, and security. As a Principal Analytics Engineer, you will shape Mantel’s data landscape, drive strategic analytics initiatives, and influence at executive levels across client engagements.

You will lead complex data projects, define DataOps standards, and advance AI capabilities while growing commercial opportunities and guiding client demonstrations and proposals.

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