Job Description
What You’ll Do:
Lead analysis, architecture, design, and development of cloud data warehouse and business intelligence solutions.
Actively contribute to the cloud and big data community at Slalom, while driving new capabilities forward.
Define cloud data strategy, including designing multi-phased implementation roadmaps.
Oversee deployment of long-term strategic data products and infusing key data and analytics services in applicable areas of business and IT.
Build cloud native micro-services architecture for data with focus on IaaS, metadata driven frameworks and DataOps.
Design, build and own data models, data flows, and integration patterns for the data lake, data warehouse, and consumption data layers.
Support data engineers in building and managing conceptual, logical and physical models of data architecture.
Build high priority prototypes in a cloud platform and demonstrate value and feasibility of the solutions and architecture.
Be involved in all project phases and own data architecture initiatives.
Lead pre-sales activities, such as drafting solutions, RFP responses and proposals, and statements of work.
Form trusted advisor relationships with senior technology stakeholders.
What You’ll Bring:
Demonstrated consulting experience in data architecture, engineering, and business intelligence.
Proven experience communicating value proposition of technical initiatives to non-technical executive stakeholders.
Demonstrated responsibility for designing and implementing Cloud Data strategies, including designing multi-phased implementation roadmaps.
Be versed in one or more Cloud solutions, (such as Amazon Web Services, Google Cloud Platform, Microsoft, Azure, Snowflake cloud), or Big Data solutions and related technologies.
Expertise in data architecture concepts such as data modeling, workflow management, ETL/ELT, real-time streaming).
Understanding data management and governance concepts such as data quality, metadata, dependency management, etc.
Explore emerging technologies vendors and recommend/advise clients on referential architectures.
Experience in designing data engineering solutions using open source and proprietary cloud data pipeline tools.
Hands-on project experience with scripting/programming languages and supporting tools such as Python, Java, Scala, Bash.
Experience with code management tools (e.g. Git, SVN) and DevOps tools (e.g. Ansible, Terraform, Bamboo, Jenkins).
Analytical approach to problem-solving; ability to use technology to solve business problems.
Experience with data mining techniques and working with data-intensive applications.
Product development mindset and expertise in CI/CD pipeline.
Background in platform engineering.
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 important 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 wellbeing, 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
Show less
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Information Technology & Services
Referrals increase your chances of interviewing at Slalom Build by 2x
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Get notified about new Data Architect jobs in Auckland, Auckland, New Zealand.
Lead analysis, architecture, design, and development of cloud data warehouse and business intelligence solutions.
Actively contribute to the cloud and big data community at Slalom, while driving new capabilities forward.
Define cloud data strategy, including designing multi-phased implementation roadmaps.
Oversee deployment of long-term strategic data products and infusing key data and analytics services in applicable areas of business and IT.
Build cloud native micro-services architecture for data with focus on IaaS, metadata driven frameworks and DataOps.
Design, build and own data models, data flows, and integration patterns for the data lake, data warehouse, and consumption data layers.
Support data engineers in building and managing conceptual, logical and physical models of data architecture.
Build high priority prototypes in a cloud platform and demonstrate value and feasibility of the solutions and architecture.
Be involved in all project phases and own data architecture initiatives.
Lead pre-sales activities, such as drafting solutions, RFP responses and proposals, and statements of work.
Form trusted advisor relationships with senior technology stakeholders.
What You’ll Bring:
Demonstrated consulting experience in data architecture, engineering, and business intelligence.
Proven experience communicating value proposition of technical initiatives to non-technical executive stakeholders.
Demonstrated responsibility for designing and implementing Cloud Data strategies, including designing multi-phased implementation roadmaps.
Be versed in one or more Cloud solutions, (such as Amazon Web Services, Google Cloud Platform, Microsoft, Azure, Snowflake cloud), or Big Data solutions and related technologies.
Expertise in data architecture concepts such as data modeling, workflow management, ETL/ELT, real-time streaming).
Understanding data management and governance concepts such as data quality, metadata, dependency management, etc.
Explore emerging technologies vendors and recommend/advise clients on referential architectures.
Experience in designing data engineering solutions using open source and proprietary cloud data pipeline tools.
Hands-on project experience with scripting/programming languages and supporting tools such as Python, Java, Scala, Bash.
Experience with code management tools (e.g. Git, SVN) and DevOps tools (e.g. Ansible, Terraform, Bamboo, Jenkins).
Analytical approach to problem-solving; ability to use technology to solve business problems.
Experience with data mining techniques and working with data-intensive applications.
Product development mindset and expertise in CI/CD pipeline.
Background in platform engineering.
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 important 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 wellbeing, 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
Show less
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Information Technology & Services
Referrals increase your chances of interviewing at Slalom Build by 2x
See who you know
Get notified about new Data Architect jobs in Auckland, Auckland, New Zealand.
💡 Quick Summary
Seeking a career-building opportunity? The Data Architect position is now open for candidates interested in the Architect / Interior Designer Jobs sector. This role in Auckland offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Architect / Interior Designer Jobs is a plus.
