Operations Tech Lead – DWH Projects (DBT, Snowflake, Power BI)

We are seeking an experienced Operations Tech Lead ( 8+years) to oversee and manage Data Warehouse (DWH) projects. The ideal candidate will have strong expertise in DBT, Snowflake, and Power BI, along with a solid understanding of data engineering best practices, data modeling (Data Vault 2.0), and operational excellence. This role involves leading technical operations, ensuring smooth delivery of data solutions, and collaborating with cross-functional teams.

. Lead Operations for DWH Projects: Manage day-to-day operations for data warehouse systems and pipelines. Ensure high availability, performance, and reliability of data platforms.

. Technical Leadership: Provide guidance on DBT transformations, Snowflake architecture, and Power BI reporting. Review and optimize SQL queries, DBT models, and data flows.

. Monitoring & Incident Management: Implement monitoring tools and processes for proactive issue detection. Troubleshoot and resolve data pipeline failures and performance bottlenecks.

. Process Improvement: Drive automation for operational tasks and deployments. Establish best practices for version control, CI/CD, and data quality checks.

. Collaboration: Work closely with Data Engineers, BI Developers, and Business Analysts. Communicate effectively with stakeholders on project status and operational metrics.

. Technical Expertise: Strong hands-on experience with DBT (data modeling, transformations). Proficiency in Snowflake (warehousing concepts, performance tuning). Experience with Power BI (reporting, dashboards, DAX).

. Data Engineering & Operations: Knowledge of ELT/ETL pipelines and orchestration tools (Airflow preferred). Familiarity with CI/CD for data projects and Git-based workflows.

. Other Skills: Strong SQL skills and understanding of data warehousing principles. Excellent problem-solving and analytical abilities. Good communication and leadership skills.

Good to Have

. Experience with cloud platforms (Azure).

. Knowledge of data governance, security, and compliance.

. Exposure to Python for scripting and automation.