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Data Architect
Slalom
IT
Auckland, New Zealand
Posted on Sep 14, 2024
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, fulfillment, 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 the below role is yet another opportunity to start your journey with Slalom and help us shape the future.
About The Practice
The purpose of our D&A practice at Slalom is to build a better future with Data. Through trusted partnership with our clients, we co-create modern data solutions that drive results and improve the world. We are continuing to grow our practice whilst keeping Diversity, Equity and Inclusiveness at the forefront, and hiring individuals who share similar passion for data, technology and culture. Joining our team will present you with an opportunity to partner with our clients to learn from their data, create incredible digital experiences, and make the most of ML and analytics. We blend design, engineering, and expertise to help them build the future.
About The Role
We are looking for an experienced Data Architect to work closely with the Data Platform, BI and Enterprise Architecture teams to influence the technical direction of Slalom's data and analytics initiatives. You will build, own, and oversee the overall data architecture for the data platform - from data lake, data warehouse, to data consumption layer at Slalom.
You will develop, optimize, and oversee conceptual and logical data architecture and integrations across multiple internal and external products. You will collaborate closely with enterprise architecture, engineering, data teams to design and implement business-critical enterprise data solutions. The ideal candidate will have proven expertise in data analysis, data modeling and data engineering with significant experience advocating solutions in cloud-native data management platforms. The successful Architect will be able to drive high priority data initiatives using AWS, DBT and Snowflake. The role will also extend into some Advanced Analytics and Artificial Intelligence concepts.
What You’ll Do
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
About The Practice
The purpose of our D&A practice at Slalom is to build a better future with Data. Through trusted partnership with our clients, we co-create modern data solutions that drive results and improve the world. We are continuing to grow our practice whilst keeping Diversity, Equity and Inclusiveness at the forefront, and hiring individuals who share similar passion for data, technology and culture. Joining our team will present you with an opportunity to partner with our clients to learn from their data, create incredible digital experiences, and make the most of ML and analytics. We blend design, engineering, and expertise to help them build the future.
About The Role
We are looking for an experienced Data Architect to work closely with the Data Platform, BI and Enterprise Architecture teams to influence the technical direction of Slalom's data and analytics initiatives. You will build, own, and oversee the overall data architecture for the data platform - from data lake, data warehouse, to data consumption layer at Slalom.
You will develop, optimize, and oversee conceptual and logical data architecture and integrations across multiple internal and external products. You will collaborate closely with enterprise architecture, engineering, data teams to design and implement business-critical enterprise data solutions. The ideal candidate will have proven expertise in data analysis, data modeling and data engineering with significant experience advocating solutions in cloud-native data management platforms. The successful Architect will be able to drive high priority data initiatives using AWS, DBT and Snowflake. The role will also extend into some Advanced Analytics and Artificial Intelligence concepts.
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.
- 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 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