Senior Data Architect: AI & Analytics Leader

Royal Caribbean Cruises Ltd

Miami (FL)

On-site

USD 120,000 - 160,000

Full time

7 days ago
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Job summary

Royal Caribbean Group in Miami, FL is seeking a Senior Analyst, Data Architect to design, build, and maintain data platform architecture across cloud (Azure) and on-prem environments. You will craft scalable data pipelines, enable analytics, and support data-driven decision making for the company’s brands.

You will collaborate with Executive, Product, Data, and Design teams to solve complex data problems, implement robust data solutions, and guide junior staff while delivering high-availability

Qualifications

  • Bachelor’s degree in area of specialty.
  • 3+ years of experience in a data/cloud engineering role.
  • Experience with relational SQL and NoSQL databases.
  • Experience with cloud services/providers: AWS, Azure.
  • Experience with a scripting language: Python, R.
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Knowledge of computer science or engineering technical concepts, practices and procedures within a particular field.
  • Able to communicate and implement technical solutions.
  • Proven ability to collaborate with technical peers.
  • Capable of working independently and as part of a team.
  • Ability to assist and guide junior staff as necessary.
  • Demonstrate a certain degree of creativity with analytical and problem-solving skills.
  • Strong with methodologies, tools, best practices and processes within specific area of responsibility.

Responsibilities

  • Create and maintain optimal data pipeline architecture.
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud big data¿ technologies
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
  • Highly analytical and interested in data visualization
  • Work with data and analytics experts to strive for greater functionality in data systems
  • Constantly looking to automate their workloads and striving to provide more timely, accurate, complete business analytics

Skills

SQL
NoSQL
Cloud
Python
R
Data pipelines
Big data
Data visualization
Cross-functional collaboration

Education

Bachelor’s degree

Tools

AWS
Azure
Python
NoSQL databases

Job description

Royal Caribbean Group in Miami, FL is seeking a Senior Analyst, Data Architect to design, build, and maintain data platform architecture across cloud (Azure) and on-prem environments. You will craft scalable data pipelines, enable analytics, and support data-driven decision making for the company’s brands.

You will collaborate with Executive, Product, Data, and Design teams to solve complex data problems, implement robust data solutions, and guide junior staff while delivering high-availability

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