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Data Architect

3 months ago

Auckland City, New Zealand Slalom Consulting Full time

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.

**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.
- 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.