Architect - Data Engineering

About the Company

Slalom is a people-focused consulting firm specializing in comprehensive business transformation powered by technology. With over 20 years in the industry and presence in more than 45 markets globally, Slalom empowers its teams to act swiftly and prioritize client needs. The firm's culture emphasizes personalization and agility beyond traditional consulting models. Since opening the Auckland office in early 2023, Slalom continues its expansion, inviting talented professionals to join and influence its future direction.

Role Overview

The Data Engineering Architect role centers on advanced engineering tasks, developing and enhancing a Modern Data Platform that supports data lifecycles and processes. Responsibilities span Data Engineering, Machine Learning Engineering, Data Modernization, building platforms and infrastructure, automation including DevOps and CI/CD, and applying relevant development and delivery best practices.

Key Responsibilities

• Collaborate autonomously within small, focused teams to design and implement innovative data solutions using public cloud platforms—Amazon Web Services, Microsoft Azure, Google Cloud Platform—and technologies such as cloud data warehouses, distributed processing engines, event streaming platforms, and other cutting-edge data tools.
• Construct next-generation data platforms by partnering with progressive organizations specializing in data and analytics.
• Analyze clients' existing environments and technical challenges to guide the evolution or creation of future architectural states.
• Leverage architectural expertise and consultative skills to facilitate design sessions with both Slalom and client teams, driving strategic architecture and data engineering implementations.
• Communicate the advantages and trade-offs of proposed designs effectively to reach consensus among all stakeholders.
• Decompose complex development work into manageable tasks, oversee timely and quality completion for assigned and team tasks, ensuring alignment with the designed technical solutions.
• Participate in pre-sales and business development activities by proposing technical solutions to prospects and assisting with project estimation and planning.

Required Qualifications and Skills

• Extensive experience in architectural design with specialized knowledge in one or more data engineering technologies.
• Proactive and self-motivated problem solver, able to fragment large challenges into smaller components and consistently share insights within projects and the broader Slalom community.
• Practical experience with an array of data platforms and programming languages, including but not limited to:
  • Big Data Platforms: Apache Spark, Presto, Amazon EMR
  • Cloud Data Warehouses: Amazon Redshift, Snowflake, Google BigQuery
  • Object-Oriented Programming: Java, Python
  • NoSQL Databases: DynamoDB, Cosmos DB, MongoDB
  • Container Orchestration: Kubernetes, Amazon ECS
  • Streaming Data Solutions: Amazon Kinesis, Apache Kafka
  • Modern Data Workflow Orchestration: Apache Airflow, dbt, Dagster

Company Culture and Values

Slalom fosters a diverse and inclusive environment where every individual can contribute meaningfully regardless of background. The New Zealand office prioritizes a healthy work-life balance, valuing authenticity and mutual support among team members. Benefits focus on holistic well-being, professional growth, and personal development, underpinning the firm's commitment to nurturing both career and life satisfaction. As a founding member of the Auckland team, you will shape the organization's unique 'Kiwi' culture and values as it grows.

Additional Information

Slalom offers competitive remuneration and innovative benefits designed to support the diverse needs of its workforce. Their investment in employee health, learning, and growth sets them apart in the consulting landscape.