Senior Data Engineer - AI & Data

Company Description YBrantWorks is a technology partner focused on building customer-driven, intelligent solutions that create tangible business impact. The company specializes in data analytics, AI integration, cloud solutions, web applications, and workflow automation that help organizations operate faster and more efficiently. Clients range from emerging startups to established industry leaders seeking tailored technology that aligns with their goals and growth plans. YBrantWorks emphasizes custom-built, scalable, and secure solutions rather than one-size-fits-all offerings, enabling data-driven decisions and advanced automation. Role Description We are looking for a Senior Data Management Consultant with deep, hands-on expertise in Snowflake and dbt to design and deliver scalable cloud data solutions for our clients. This is a client-facing role combining analytics engineering, data architecture, and consulting. The role involves leading discovery and requirements sessions, translating business requirements into technical solutions, designing Snowflake architectures, and building production-grade ELT pipelines and analytics-ready data models. You will also support data migration projects, implement CI/CD workflows, monitor data pipelines, troubleshoot data and performance issues, and work closely with both technical and non-technical stakeholders to deliver successful data solutions.

5–10 years of experience in data engineering, analytics engineering, or data management.

• Strong hands-on expertise with Snowflake , including data modeling, performance tuning, security, RBAC, and secure data sharing.
• Strong hands-on experience with dbt , including model development, testing, documentation, and CI/CD practices.
• Advanced SQL skills, including complex transformations, multi-layer queries, and analytical patterns.
• Proven experience developing ELT pipelines on modern cloud data platforms.
• Strong understanding of data warehousing, analytics engineering, and semantic modeling.
• Experience with GitHub or GitLab and CI/CD workflows.
• Experience working in agile and client-facing environments.
• Experience with data migration projects, particularly migrations to Snowflake, is a plus.
• Exposure to workflow orchestration and pipeline monitoring is a plus.
• Understanding of data governance and security best practices is a plus.