Fusion5

Principal Consultant - Data Architecture & Strategy

Fusion5

Christchurch, Canterbury Region, New Zealand · Full Time

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Experience
8+ yrs
Salary
Openings
1
Posted
1 week ago
Work mode
In office
Resume
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Job description

About the Role

Join Fusion5 as a Principal Consultant within our New Zealand Data & Analytics team, located in Christchurch, Canterbury. This senior consulting position calls for a seasoned professional who excels at data architecture and strategy, working closely with clients to elevate their data capabilities through strategic insight and technical leadership.

Responsibilities

  • Lead comprehensive data engagements with some of New Zealand's top organisations, delivering architecture and strategy expertise.
  • Design and implement modern data architectures across operational and analytical scenarios, including lakehouse/medallion patterns and dimensional modelling.
  • Conduct discovery phases and data maturity assessments to develop actionable data strategies and roadmaps for clients.
  • Contribute hands-on to platform development using Microsoft Fabric, Azure, Databricks, and Snowflake technologies.
  • Embed data governance frameworks, master data management, metadata management, and data quality into solution designs.
  • Act as a champion for practical AI adoption, guiding clients and the team to leverage AI effectively on robust data foundations.
  • Oversee data migration initiatives, including CRM and ERP migrations within broader transformation projects alongside Business Applications teams.
  • Support presales activities by estimating scopes, crafting proposals and RFPs, and communicating trade-offs to clients.
  • Mentor junior consultants and seniors, fostering the growth of team standards, knowledge bases, and reusable assets.

Candidate Profile

  • At least 8 years’ experience in data architecture, senior data engineering, or data consulting, including leadership on complex or high-value projects.
  • Proficient in logical and physical data modelling, dimensional modelling per Kimball methodology, and lakehouse/medallion architecture designs.
  • Strong practical experience using Microsoft Azure and Microsoft Fabric platforms for data ingestion, transformation, and warehousing complemented by advanced SQL, Python, and ETL/ELT capabilities.
  • Expertise in leading discovery and data strategy exercises with senior-level business and technical stakeholders.
  • Knowledgeable about implementing data governance, master data management, metadata management, and data quality principles.
  • Comfortable applying AI techniques day-to-day and passionate about promoting AI integration in solutions and delivery practices.
  • Experienced in presales and solution shaping including project scoping, estimation, and client presentations.
  • Skilled in consulting abilities such as senior stakeholder engagement, workshop facilitation, and articulate communication.
  • Adept at mentoring professionals and enhancing team standards and workflows.
  • Must hold legal entitlement to work in New Zealand and able to service clients nationwide.

Preferred Expertise

  • Hands-on experience with Databricks and/or Snowflake platforms.
  • Knowledge of Power BI and semantic modelling techniques.
  • Familiarity with Microsoft Purview, dbt tool, and AI solution implementations on the Microsoft stack (including Copilot, Azure OpenAI, and Fabric Data Agents).

Benefits

  • Engaged, collaborative workplace culture valuing teamwork and mutual support.
  • Attractive salary package, flexible working options, and emphasis on work-life harmony.
  • Additional leave benefits such as birthday leave and volunteer days plus social events to foster team spirit.
  • Clear career advancement pathways encouraging professional growth within the practice.

Additional Information

This position offers a unique opportunity to influence client outcomes and the evolution of our practice as part of a reputable trans-Tasman firm dedicated to delivering impactful technology solutions.

Tools & software

Microsoft Fabric required Microsoft Azure required Snowflake required Databricks required

How they work

Communication Leadership Strategic Thinking Relationship Building
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