Key Responsibilities:

Design and develop our company's data warehouse architecture to support business intelligence and reporting needs.
Evaluate and implement new technologies and tools to optimize the data warehouse infrastructure.
Collaborate with our data engineering team to design and implement data integration processes for various data sources.
Develop and maintain data warehouse standards, policies, and procedures.
Monitor and troubleshoot data warehouse performance to ensure data accuracy and availability.
Identify and resolve data quality issues to maintain data integrity.
Conduct data warehouse capacity planning and make recommendations for scalability.
Work closely with business stakeholders to understand their data and reporting needs.
Develop and maintain data warehouse documentation and data dictionaries.
Provide technical guidance and mentorship to junior members of the data engineering team.

Qualifications:

Bachelor's degree in Computer Science, Information Systems, or a related field.
Minimum of 5 years of experience in data warehouse architecture and design.
Strong experience with data modeling, ETL processes, and data integration tools.
Expertise in SQL, data warehousing, and business intelligence.
Experience with cloud-based data warehousing platforms such as Amazon Redshift, Google BigQuery, or Snowflake.
Proficient in programming languages such as Python, Java, or Scala.
Excellent communication and collaboration skills.
Strong problem-solving and analytical skills.
Ability to work in a fast-paced and dynamic environment.

If you are a highly motivated and results-driven individual with a passion for data warehousing, we encourage you to apply for this exciting opportunity. Join our team and help us drive data-driven decision-making to the next level.

We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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