Omni BI Analytics Engineer / Data Engineering Lead

QData Inc is hiring a Senior Analytics Engineer / Data Engineering Lead to help build and modernize enterprise data platforms. The role focuses on scalable data modeling, reliable transformation pipelines, semantic-layer development, BI solutions, data quality, governance, and modernization of legacy reporting environments. The position also provides technical leadership and partners with business and technical stakeholders to deliver trusted analytics.

Responsibilities:

• Design and develop scalable, high-quality data platforms using Snowflake, Databricks, and dbt
• Build and maintain robust dbt models, including incremental models, tests, macros, documentation, and performance optimization
• Develop enterprise-grade data models and semantic layers that provide a reliable single source of truth for analytics and reporting
• Build and optimize data pipelines using SQL, Python, Airflow, Databricks/DLT, and other modern data engineering technologies
• Develop analytics solutions using Looker, Omni
• Partner with business stakeholders, analysts, and engineering teams to translate business requirements into scalable technical solutions
• Modernize legacy data warehouses, reporting environments, and BI platforms
• Improve data quality, reliability, performance, governance, and observability across the data ecosystem
• Implement automated data validation, reconciliation, testing, and monitoring processes
• Optimize complex SQL queries, Snowflake workloads, dbt transformations, and Databricks pipelines
• Establish and enforce best practices around data modeling, documentation, testing, governance, and deployment
• Identify opportunities to automate repetitive reporting and data processes using Python and modern data technologies
• Provide technical leadership and mentorship to data engineers and analytics engineers
• Work in an Agile environment and participate in architecture discussions, sprint planning, code reviews, and technical design sessions

Requirements:

• Experience in Data Engineering, Analytics Engineering, BI Engineering, or a related field
• Strong hands-on experience with dbt and modern analytics engineering practices
• Strong experience with Databricks, preferably including Delta Lake / DLT / Lakehouse architecture
• Expert-level SQL skills with experience working with complex datasets and analytical workloads
• Strong Python programming and automation experience
• Strong understanding of data modeling, dimensional modeling, and semantic-layer architecture
• Experience with Looker, Omni
• Experience building scalable ETL/ELT pipelines
• Experience with workflow orchestration tools such as Airflow
• Strong understanding of data warehouse architecture and modern cloud data platforms
• Experience working directly with business stakeholders and translating business requirements into technical solutions
• Experience migrating data warehouses such as Redshift to Snowflake
• Experience with Semantic modeling
• Experience implementing data governance and data quality frameworks
• Experience with Azure Stack
• Experience working with financial, operational, marketing, or product analytics datasets
• Experience leading data modernization or BI transformation initiatives
• Strong communication, stakeholder-management, and technical leadership skills