We are looking for a highly skilled Analytics Engineer / Data Integration Specialist with 5 to 8 years of experience to manage and optimize enterprise data integration workflows supporting our Snowflake data warehouse. The role will take ownership of end-to-end pipeline maintenance, break/fix support, data validation, and data modeling while collaborating closely with internal engineering teams, business stakeholders, and external vendors. This position plays a key role in ensuring reliable data operations and enabling teams to focus on AI and advanced analytics initiatives.
- Maintain, troubleshoot, and optimize enterprise ETL/ELT and data integration pipelines connected to Snowflake.
- Take ownership of end-to-end production support, break/fix, and pipeline maintenance.
- Identify and resolve data anomalies, schema changes, ingestion issues, and integration failures.
- Perform data validation, manual QA, testing, and data cleanup across development and production environments.
- Maintain and enhance Snowflake data models and ensure data quality and consistency.
- Manage engineering tickets, enhancements, and defects using Jira and vendor portals.
- Follow GitHub branching, version control, and CI/CD best practices.
- Provide rapid support to business users through Microsoft Teams/Slack channels.
- Act as a key liaison between data engineers, data modelers, technical administrators, business users, and external vendors.
- Identify opportunities to improve pipeline reliability, support processes, and overall data integration efficiency.
- Strong experience in Data Integration, ETL/ELT, and enterprise data pipelines.
- Advanced SQL and Snowflake expertise, including data modeling, data shares, and semi-structured data.
- Strong knowledge of data modeling, data validation, QA, and data cleansing.
- Hands-on experience with GitHub, including branching, merging, and code management.
- Experience with Jira and Agile project workflows.
- Strong production support and incident management experience in SLA-driven environments.
- Experience troubleshooting data pipelines and resolving integration issues.
- Excellent communication and stakeholder-management skills, with the ability to translate technical issues for business and technical audiences.
- Own and lead a critical data platform: Take end-to-end ownership of enterprise data integration and Snowflake operations.
- Work across teams: Collaborate with engineering, business, technical administration, and external vendor teams.
- Drive continuous improvement: Shape processes that improve data quality, pipeline stability, and operational efficiency.
- Enable AI & advanced analytics: Your work will directly help internal teams transition from operational maintenance toward high-value AI and advanced analytics initiatives.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
