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Datacom

Cloud, AI, and digital transformation provider

Principal Consultant - Snowflake

Data EngineeringConfirmed live in the last 24 hours
Full-timeWellington, New ZealandNo salary listed

About the Job

Requirements

  • Proven ability to engage with senior stakeholders and influence buying decisions.
  • Experience in pre-sales solutioning, proposal development, and client presentations.
  • Commercial acumen and ability to align technical solutions with business value.
  • Strong consultation and client management skills.
  • Advanced skills and a proven track record of building data solutions in cloud platforms such as Azure, AWS, and GCP.
  • Advanced skills in data platforms such as Fabric, Snowflake, and Databricks.
  • Advanced ETL/ELT process design and implementation with tools such as Synapse Analytics, Fabric Data Factory, Snowflake, Coalesce, Fivetran, Matillion, dbt, and AWS Glue.
  • Advanced data modelling skills across conceptual, logical, and physical models, using techniques such as entity-relationship, dimensional, object-oriented, NoSQL, and Data Vault.
  • Advanced skills and real-world experience with Python development in modern data platforms.
  • Experience using Informatica IDMC or on-premises solutions.
  • Bachelor’s degree in computer science or a related discipline.
  • Minimum 8 years’ experience in EDW design and implementation.
  • Minimum 8 years’ experience in ETL architecting and design.
  • Minimum 8 years’ experience in data modelling.
  • Minimum 5 years’ experience in semantic layer development.
  • Minimum 3 years’ experience in Power BI architectures.
  • Minimum 3 years’ experience in pre-sales solutioning, commercial proposal development, and client solution presentations.

Responsibilities

  • Collaborate with sales and account teams to shape proposals and solution designs during pre-sales engagements.
  • Lead client presentations and solution walkthroughs to articulate value and differentiation.
  • Identify opportunities for upselling and expanding service offerings within existing accounts.
  • Facilitate stakeholder workshops to gather and clarify business requirements.
  • Lead the technical architecture, design, and delivery for new modern data platform solutions.
  • Provide clients with thought leadership regarding data analytics and integration recommendations.
  • Provide thought leadership on the effective use of AI in the data platform landscape.
  • Perform performance tuning and optimisation, and feature audits on data platform solutions.
  • Provide detailed documentation, end-user training, and knowledge-transfer services to clients and internal teams.
  • Mentor developers, acting as a subject matter expert in data platform and warehouse architectures and data modelling.

About the Company

Datacom

Cloud, AI, and digital transformation provider

Datacom provides IT services across APAC, focusing on cloud solutions, AI-driven innovations, and digital transformation for government, financial institutions, and large enterprises. Its offerings come through a three-pillar approach: consulting to design solutions, managed IT services to operate and sustain environments, and software solutions to implement and integrate technology, using cloud and AI to automate processes and improve experiences and productivity. The company differentiates itself with a strong regional footprint in APAC and a commitment to long-term partnerships, delivering an integrated model that combines strategy, operations, and software delivery for continuous modernization. Its goal is to help clients adapt to a digitized world, foster ongoing innovation, and thrive through reliable, scalable technology and sustained support.

Company size
5,001-10,000
Company stage
Series B
Total funding
$13.4M
Headquarters
Auckland, New Zealand
Founded
1999

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