Senior Data DBT Engineer

About TargetBoard.ai

TargetBoard.ai is an Agentic AI Command Center for Operational Excellence used by modern executive teams to gain instant, actionable insights across Engineering, Product, Sales, Marketing, and Customer Success. We connect directly to tools like Jira, Salesforce, GitHub, HubSpot, and Zendesk—no BI team required. Our mission is to eliminate the complexity of traditional analytics and empower decision-makers with clarity.

We’re growing fast and already supporting some of the world’s top companies. This is your chance to join a high-impact team that’s redefining how businesses measure and manage performance.

This role

We’re looking for a hands-on Data & Backend expert who can take ownership of our internal data modeling stack. If you're a power user of SQL and DBT, care deeply about clean data design, and enjoy building reliable systems that others can depend on—this role is for you. You’ll help create the analytics foundation that powers every KPI delivered through our platform.

Key Responsibilities

• Design, build, and maintain modular DBT models powering customer-facing KPIs
• Define and implement data modeling best practices including testing, documentation, and deployment
• Review and optimize complex data pipelines with a focus on performance and clarity
• Monitor and improve PostgreSQL performance, indexing, and schema structure
• Debug and troubleshoot issues across the entire data flow—from source connectors to dashboards
• Collaborate closely with product and engineering to support rapid iteration and insights delivery

Required Qualifications

• 5+ years of production DBT development (including model structure, tests, and deployment)
• 3+ years in a Data Analyst, BI Developer, Analytics Engineer, or similar role
• Expert-level SQL skills with deep experience in PostgreSQL
• 3+ years as a backend developer.
• Solid understanding of Git-based workflows and CI/CD for analytics code
• Detail-oriented, independent, and confident in communicating technical decisions

Nice-to-Have

• Experience with modern cloud data warehouses (e.g. Snowflake, BigQuery, Redshift)
• Familiarity with ETL & orchestration tools (e.g. Airbyte, Fivetran)
• Understanding of data governance, data cataloging, and metadata management
• Comfortable working in high-growth startup environments with evolving systems and priorities

Why Join Us?

• Play a critical role in building the data backbone of a cutting-edge AI platform
• High autonomy and ownership in a product-centric company
• Collaborate with a fast-moving, mission-driven team
• Help shape the future of operations management and data driven decision making.