Sr. Cloud Data Engineer - Snowflake

Summary

As a Sr Cloud Data Engineer, you will be developing and maintaining the scalable data pipelines, systems, and platforms in Microsoft Azure, Databricks, and Snowflake. You will collaborate with business data analysts, data architects, data scientists, project managers, and G.E.H.A’s business stakeholders to build solutions that ensure seamless data flow and enable actionable insights. This role supports data development and maintenance efforts of the Data & Analytics activities and initiatives in alignment with the Enterprise Data strategy, policies, and organizational goals. You will work in a cloud-native environment to design and optimize data solutions that improve performance, scalability, and efficiency of our data and analytics offerings.

Duties

· Advanced ETL/ELT Development: Design and develop complex ETL/ELT pipelines ensuring the efficient flow of data from multiple sources to Snowflake for processing, storing, analyzing, and consuming large datasets on Snowflake.

· Cloud Data Architecture: Design and implement data solutions in Snowflake to support business intelligence, analytics, and data science initiatives.

· Cloud Platform Data Architecture: Oversee the design and optimization of Snowflake architecture, including data models, schema design, partitioning, clustering, and query optimization to ensure high performance and low cost.

· Work independently on assigned stories/tasks. Lead and guide other data engineers on the team to deploy data solutions through the environments to Production using the approved Change Management process.

· Participate in Architectural discussions, able to understand the data strategy, and expected to provide recommendation to make architectural decisions for data domains.

· Perform regular Code Reviews and make sure best practices are followed.

· Innovation and Thought Leadership: Stay current with emerging cloud technologies and data engineering trends. Drive innovation in data architecture and pipeline development to maintain a competitive edge.

· Collaborate with Stakeholders: Work closely with cross-functional teams, including business data analysts, data architects, data scientists, project managers and business units, to define data requirements and implement data solutions that support documented and approved business goals.

· Data Security, Governance & Compliance: Implement best practices to ensure data privacy, security, and compliance with relevant governance in the cloud environment.

· Automation and Monitoring: Implement and manage automated monitoring and logging for all data workflows and pipelines to ensure data integrity and operational reliability.

· Troubleshooting and Support: Troubleshoot issues with data pipelines, data integrity, and platform performance, providing timely resolutions to business-critical data needs.

· Ensure that all items follow the company Change Management process.

· Participate in scrum, backlog grooming, refinement, planning and review sessions.

· Leads backlog grooming, refinement, and planning meeting, as needed.

· Other duties as assigned.