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Architect - Data Engineering

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Onsite

Architect - Data Engineering

Slalom Consulting

Architect - Data Engineering

Skills

Google Cloud PlatformBig DataMongoDBData EngineeringPythonJavaKafkaSnowflakeGoogle BigQueryAmazon RedshiftMicrosoft Azure Cosmos DBData AnalysisMachine LearningAWSdbtKubernetesBusiness DevelopmentAWS KinesisApache AirflowBusiness TransformationAzure

4 months ago

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Important information


Location:

Auckland, New Zealand

Work mode:

Onsite

Published on:

4 October 2026

What they need


General Information

Locations

  • Auckland, NZL
  • Wellington, NZL

Business Function

Data & analytics

Date posted

Wednesday, June 17, 2026

Ref #

2106

Description and Requirements

Job Description

About Us

Slalom is a fiercely human consulting company focused on end-to-end business transformation enabled by technology. With 20-plus years of experience and operating in 45+ markets around the world, Slalom teams have the autonomy to move fast and do what's right for our clients, making us more personal and nimbler than traditional consulting firms.

At Slalom, we offer variety, fulfilment, and balance. You can work with the world's top companies, keep up with the latest technology, flex your skills across industries, pursue your life outside of work, and spend quality time with your family. After launching our Auckland office in February 2023, we are continuing to grow, and this role is yet another opportunity to start your journey with Slalom and help us shape the future.

About the Role

As an Architect in Data Engineering, you will be focusing on deep Engineering and building out the Modern Data Platform to support data lifecycles and processes. This includes Data Engineering, ML Engineering, Data Modernisation, Platform/Infrastructure Build-out, Automation (DevOps & CI/CD), and relevant development and delivery practices.

What you'll do

As an Architect, Data Engineering your key responsibilities would include, but are not limited to:

  • Work in small, collaborative teams with minimal oversight and direction to design and deliver innovative solutions on Amazon Web Services, Microsoft Azure, and Google Cloud Platform using core cloud data warehouse tools, distributed processing engines, event streaming platforms, and other modern data technologies.
  • Build the next generation of data platforms and work with some of the most forward-thinking organizations in data and analytics.
  • Responsible for understanding the client’s current environment and technical challenges as well as their plans for evolving or creating their future state architecture.
  • Using your personal experiences, architecture expertise and your consultative skills, you will facilitate working design sessions with Slalom and Client technical teams to drive the strategy, architecture, and implementation of a data engineering solution.
  • Effectively describe the pros and cons of your solution design and drive the combined Slalom and client team to a consensus.
  • Breaking down complex development tasks and will be responsible for the timely quality completion of development items assigned to you and the development team reporting to you, ensuring that they support the Technical Solution you designed.
  • As time allows, you will participate in pre-sales activities, including helping define an approach to solving a prospect’s technical challenges and helping the business development team estimate and plan projects to address those challenges.

What you'll bring

  • Broad experience in architecture design, a deep expertise in one or more data engineering technologies (listed below), a curious mindset to your client’s engagement, a thirst for knowledge, and a hunger for fearless experimentation in new and interesting ways to meet our clients’ most pressing data challenges.
  • Self-starter mindset and ability effectively break down large problems into smaller ones and regularly share your learnings within your projects and in the broader Slalom community.
  • Hands-on experience with new data platforms and programming languages as you explore the range of technologies that we help our clients with, including:
  • Big Data Platforms (Apache Spark, Presto, Amazon EMR) Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery)
  • Object Oriented Coding (Java, Python)
  • NoSQL Databases (DynamoDB, Cosmos DB, MongoDB)
  • Container Management Systems (Kubernetes, Amazon ECS)
  • Streaming Data Ingestion and Analytics (Amazon Kinesis, Apache Kafka)
  • Modern Data Workflows (Apache Airflow, dbt, Dagster)

Our Values

Our culture and values reflect each individual Slalomer. We are dedicated to encouraging workplace diversity and ensuring all our people, from any background can contribute to their full potential. We wish to build a team that echoes the diversity of the communities we serve, and our values are an active part of our every day, guiding our decisions.

What keeps us here?

Our New Zealand office knows the importance of a good work/life balance. We have the freedom to be ourselves when life gets in the way. We make a big effort to bring everyone together and allow space when space is needed. We believe in helping each other thrive in work and life and are proud to invest in benefits that include holistic well-being, meaningful allowances, and investment in our team’s professional, technical, and personal growth. It’s an exciting time to be one of our foundational members, getting involved in setting up our ‘Kiwi’ values and culture and what makes us uniquely Slalom NZ!

Slalom prides itself on helping our team members thrive in their work and life. As a result, Slalom is proud to invest in our team members with competitive and innovative benefit programs and services that meet the unique needs of our diverse workforce.

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