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Enterprise Data Solutions Architect

3 weeks ago


Diamond Bar, California, United States Niagara Bottling Full time

Our Team

We are a fast-paced, innovative, and intensely collaborative team. Our Team Members are passionate, driven, and always find a way to get the job done.

About the Role

We are seeking a highly skilled Enterprise Data Solutions Architect to join our team. As a key member of our data infrastructure team, you will be responsible for designing, developing, implementing, and supporting essential enterprise Business Intelligence solutions.

Responsibilities

  • Design, develop, and maintain robust ETL processes to extract, transform, and load data from various sources into Snowflake.
  • Optimize data storage and retrieval mechanisms for performance and scalability.
  • Configure and manage Snowflake data infrastructure components.
  • Collaborate with analysts and BI developers to design and implement data models that support reporting and analytical requirements.
  • Monitor and optimize ETL jobs for performance, reliability, and scalability, implementing best practices for data processing.
  • Ensure high levels of data quality and integrity through data validation, cleansing, and transformation processes.
  • Implement data governance best practices to maintain data accuracy and compliance with organizational standards.
  • Ensure proper configuration management and change controls are implemented.
  • Work closely with offshore team(s) and participate in scrum calls.

Requirements

  • 7-10 years - Experience in Snowflake.
  • 7-10 years – Experience in designing and building complex Data Pipelines.
  • 7-10 years – Experience with cloud platforms like Microsoft Azure or Google Cloud Platform.
  • 7-10 years – Experience with tools like Databricks/Azure Data Factory.
  • 7-10 years – Experience with Data Modeling, Data Mart design, Data Pipeline/ETL Architecture.
  • 5-7 years – Experience in troubleshooting and resolving issues in ETL jobs and BI solutions.
  • 3-5 years – Experience in performance tuning of ETL process, Reports/Dashboards.
  • 2-4 years – Experience with PL/SQL to support ETL processes.
  • 2-4 years – Experience with Data Analysis using Python or R programming.
  • 2 year(s) – Experience in Oracle Analytics Cloud Services (OACS) or PowerBI.

Salary and Benefits

The salary for this role is estimated at $107,143.99 - $150,001.60 per year, depending on experience and qualifications. We offer competitive benefits and retirement options, as well as opportunities for career advancement and professional development.