Principal Consultant - Data Architecture & Strategy

About the Role

We are seeking a high-level Principal Consultant to lead data initiatives, offering expertise in data architecture and strategy for some of New Zealand's most ambitious organizations. This leadership role demands a blend of strategic thinking and hands-on involvement, particularly in developing AI-ready data foundations.

Key Responsibilities

• Lead the design and architecture of modern data platforms for both operational and analytical applications, including lakehouse/medallion architectures, dimensional modeling, and integration strategies.
• Conduct discovery phases and data maturity assessments, then create actionable data strategies and roadmaps for clients.
• Stay actively engaged in platform development using Microsoft Fabric, Azure, Databricks, and Snowflake alongside delivery teams.
• Embed data governance, master data management, metadata management, and data quality considerations into all solution designs.
• Advocate and support AI adoption both internally and with clients, promoting practical AI applications built on strong data frameworks.
• Manage data migration streams, especially for CRM and ERP systems within broader transformation projects working alongside Business Applications teams.
• Support presales activities including solution development, client proposals, cost estimation, and presenting options to stakeholders.
• Mentor junior consultants and seniors, contributing to team standards, knowledge sharing, and reusable asset creation.

Required Qualifications and Experience

• At least eight years’ experience in data architecture, senior data engineering, or data consulting with a track record of managing complex or major projects.
• Proficiency in logical and physical data modeling, including dimensional modeling (Kimball methodology) and modern lakehouse/medallion architectures.
• Strong hands-on experience delivering solutions on Microsoft Azure and Fabric, including ingestion, transformation, and warehousing, leveraging SQL, Python, and ETL/ELT processes.
• Experience facilitating discovery and data strategy sessions with senior business and technical stakeholders.
• Ability to design and advise on data governance frameworks, master data management, metadata management, and data quality assurance.
• Comfortable incorporating AI methods into daily tasks and driving AI adoption in client projects and delivery.
• Experience in presales functions such as scoping, estimation, and client presentations.
• Excellent consulting skills including stakeholder engagement, workshop facilitation, and effective communication.
• Experience mentoring team members and enhancing team standards and practices.
• Legal eligibility to work in New Zealand and capability to serve clients nationwide.

Preferred Skills (Advantages)

• Hands-on use of Databricks and/or Snowflake platforms.
• Experience with Power BI and semantic data modeling.
• Knowledge of Microsoft Purview, dbt, and Microsoft stack AI tools such as Copilot, Azure OpenAI, and Fabric Data Agents.

Work Environment and Benefits

• A collaborative and supportive workplace culture emphasizing teamwork.
• Competitive remuneration with flexible work arrangements promoting work-life balance.
• Additional leave benefits including birthday leave and volunteer days, plus regular social events.
• Clear career development opportunities within the growing practice.

Additional Information

If you are a seasoned data expert who can provide both strategic vision and practical implementation skills, and seek to partner with organizations serious about leveraging their data, this position offers an excellent opportunity. We value personality and a human connection through applications and carefully review each submission.