
Principal Data Architect
1 day ago
Unlock the power of data with our company. We partner with businesses to optimize their technology infrastructure and drive data-driven success.
Role Description- Lead the end-to-end migration of data warehousing and ETL processes from legacy systems to Snowflake and dbt.
- Design, develop, and implement highly efficient, scalable, and reliable ETL/ELT pipelines within the new Snowflake and dbt environment.
- Optimize existing workflows for performance and cost-efficiency on the Snowflake platform.
- Establish and enforce data quality, governance, and security standards within the new platform.
- Collaborate with data architects, analysts, and business stakeholders to understand data requirements.
- Develop best practices for data modeling, CI/CD, and version control using Git.
- Mentor junior engineers and contribute to the continuous improvement of the data engineering practice.
Required Skills and Qualifications
- 5-10 years of professional experience in data engineering or a related field.
- Deep expertise in migrating data platforms from on-premises/legacy systems to cloud environments.
- Mandatory hands-on experience with Teradata and Informatica.
- Expert-level proficiency in Snowflake, including performance tuning and platform administration.
- Strong experience with dbt for data transformation, testing, and documentation.
- Exceptional proficiency in SQL and at least one programming language, preferably Python.
- Experience with cloud services and setting up data ingestion from various sources.
About This Role
- We are seeking an experienced data engineer who can lead the development of our data infrastructure.
- The ideal candidate will have a deep understanding of data engineering principles and be able to design and implement highly efficient data pipelines.
- They will also be responsible for ensuring data quality, governance, and security within the new platform.
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