Job Description
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.
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.
💡 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.
