Data Architect
Location: San Diego CA - Onsite
Interview: Virtual round
Duration: 6 months
Overview
We are seeking a highly skilled Data Architect to design build and optimize scalable data solutions. This role will focus on modern data platforms data warehousing and ETL processes supporting enterprise-level analytics and reporting initiatives.
The ideal candidate will have a strong blend of data architecture and hands-on data engineering experience with expertise in cloud data platforms and data modeling.
Key Responsibilities
- Design and implement scalable data architecture and data warehouse solutions
- Develop and optimize data models (star schema dimensional modeling)
- Build and maintain robust ETL/ELT pipelines using tools such as Informatica or Matillion
- Work with Snowflake and Oracle to manage and optimize data storage and performance
- Collaborate with business stakeholders and technical teams to define data requirements
- Ensure data quality governance and consistency across systems
- Support reporting and analytics initiatives using tools like Tableau or Power BI
- Troubleshoot and optimize data workflows for performance and scalability
Required Qualifications
- 7 years of experience in data architecture data engineering or data warehousing
- Strong experience with Snowflake and/or Oracle
- Hands-on experience with ETL tools such as Informatica Matillion or similar
- Solid understanding of data warehousing concepts and data modeling techniques
- Experience supporting BI/reporting tools such as Tableau or Power BI
- Strong SQL skills and experience working with large datasets
- Ability to design scalable and high-performance data solutions
Preferred Qualifications
- Experience with cloud platforms (AWS Azure or GCP)
- Knowledge of data governance and data quality frameworks
- Experience working in enterprise-level data environments
- Strong communication skills with the ability to work cross-functionally
What Were Looking For
- A strategic thinker who can design end-to-end data solutions
- Someone who is both hands-on and architectural
- A problem-solver who can optimize and modernize data environments
Data Architect Location: San Diego CA - Onsite Interview: Virtual round Duration: 6 months Overview We are seeking a highly skilled Data Architect to design build and optimize scalable data solutions. This role will focus on modern data platforms data warehousing and ETL processes supporting ente...
Data Architect
Location: San Diego CA - Onsite
Interview: Virtual round
Duration: 6 months
Overview
We are seeking a highly skilled Data Architect to design build and optimize scalable data solutions. This role will focus on modern data platforms data warehousing and ETL processes supporting enterprise-level analytics and reporting initiatives.
The ideal candidate will have a strong blend of data architecture and hands-on data engineering experience with expertise in cloud data platforms and data modeling.
Key Responsibilities
- Design and implement scalable data architecture and data warehouse solutions
- Develop and optimize data models (star schema dimensional modeling)
- Build and maintain robust ETL/ELT pipelines using tools such as Informatica or Matillion
- Work with Snowflake and Oracle to manage and optimize data storage and performance
- Collaborate with business stakeholders and technical teams to define data requirements
- Ensure data quality governance and consistency across systems
- Support reporting and analytics initiatives using tools like Tableau or Power BI
- Troubleshoot and optimize data workflows for performance and scalability
Required Qualifications
- 7 years of experience in data architecture data engineering or data warehousing
- Strong experience with Snowflake and/or Oracle
- Hands-on experience with ETL tools such as Informatica Matillion or similar
- Solid understanding of data warehousing concepts and data modeling techniques
- Experience supporting BI/reporting tools such as Tableau or Power BI
- Strong SQL skills and experience working with large datasets
- Ability to design scalable and high-performance data solutions
Preferred Qualifications
- Experience with cloud platforms (AWS Azure or GCP)
- Knowledge of data governance and data quality frameworks
- Experience working in enterprise-level data environments
- Strong communication skills with the ability to work cross-functionally
What Were Looking For
- A strategic thinker who can design end-to-end data solutions
- Someone who is both hands-on and architectural
- A problem-solver who can optimize and modernize data environments
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