Senior Data Engineer

3 days ago


Houston, Texas, United States Lorven Technologies Full time

• We are seeking a highly skilled and experienced Senior Data Engineer to join our team at Lorven Technologies.

• As a Senior Data Engineer, you will be responsible for designing, developing, and implementing robust data architecture solutions utilizing modern day data platforms like Snowflake and Databricks.

• You will ensure scalable, reliable, and secure data environments that meet business requirements and support advanced analytics.

• The ideal candidate will have a strong background in data migration from RDBMS to Snowflake and Databricks, and a deep understanding of modern data architecture principles.

• You will partner with end-users to understand process, requirements and analyze problems to design solutions and ultimately deliver tangible business value & benefit.

• Key responsibilities include:

  • Design, develop, and implement robust data architecture solutions utilizing modern day data platforms like Snowflake and Databricks.
  • Ensure scalable, reliable, and secure data environments that meet business requirements and support advanced analytics.
  • Lead the migration of data from traditional RDBMS systems to Snowflake and Databricks environments.
  • Architect and design scalable data pipelines and infrastructure to support the organization's data needs.
  • Develop and manage ETL processes using Snowflake and Databricks to ensure efficient data extraction, transformation, and loading.
  • Optimize ETL workflows to enhance performance and maintain data integrity.
  • Ensure seamless data transition with minimal disruption to ongoing operations.
  • Monitor and optimize performance of data systems to ensure reliability, scalability, and cost-effectiveness within Snowflake and Databricks environments.
  • Collaborate with cross-functional teams, including data engineers, data scientists, analysts, and product managers, to understand data requirements and deliver solutions.
  • Define best practices and standards for data engineering/data warehouse processes and ensure adherence to them.
  • Evaluate and implement new technologies and tools to improve the efficiency and effectiveness of data pipelines.
  • Provide technical leadership and mentorship to junior members of the data engineering team.
  • Work closely with DevOps and infrastructure teams to deploy and manage data systems in production environments.
  • Ensure that all data solutions comply with organizational policies, industry standards, and regulatory requirements.
  • Collaborate with enterprise architects and IT leadership to ensure alignment of data architecture with overall IT architecture and strategies.


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