Director, Data Engineering & Business Intelligence

Summary

Join Wpromote as their Director of Data Engineering & Business Intelligence, leading data platform and analytics innovation. Oversee a team, design reliable and scalable data infrastructure, and expand reporting capabilities. Introduce new data sources, build modern reporting interfaces, and spearhead innovation in conversational analytics and real-time data delivery. The role requires strategic thinking, data product building, and mentoring high-performing teams. Wpromote offers a remote-first culture, unlimited PTO, flexible schedules, 100% paid parental leave, 401(k) matching, and comprehensive insurance benefits. The anticipated annual salary ranges from $140,000 to $175,000, plus an annual performance bonus.

Requirements

• 7+ years of experience in data engineering, BI, or analytics within an advertising agency environment (preferred) and/or client (Brand) environment
• Experience working with marketing, sales, or digital media data (Google, Meta, Salesforce, etc.)
• Background in digital analytics platforms (e.g., Google Analytics, Adobe Analytics)
• 2+ years in a leadership or management role
• Proven experience building scalable data pipelines and modeling data using SQL and tools like dbt or similar
• Expertise in cloud data platforms (e.g., BigQuery, Snowflake, Redshift) and orchestration tools (e.g., Airflow, Cloud Composer)
• Strong understanding of ETL/ELT workflows and data warehousing best practices
• Hands-on experience integrating with APIs and managing large-scale data ingestion
• Deep familiarity with BI platforms such as Looker, Tableau, Power BI, or similar
• Excellent communication and stakeholder management skills, including the ability to translate business needs into technical solutions
• Demonstrated experience in implementing and maintaining rigorous data QA and governance processes
• Understanding of modern data architecture patterns (e.g., event streaming, data lakehouses)

Responsibilities

• Leading and mentoring a team of data engineers to build and maintain accurate, dependable, and automated data pipelines
• Overseeing the architecture and design of our BI ecosystem across internal and client-facing environments
• Driving innovation by exploring new APIs, data providers, and integration approaches to expand our data capabilities
• Partnering with analytics, strategy, and engineering stakeholders to define and deliver on data and reporting requirements
• Designing scalable and reusable data models using dbt and BigQuery, optimized for reporting, forecasting, and analytics
• Leading the development of modern reporting interfaces and conversational analytics tools that empower users to self-serve insights
• Evolving and enforcing QA processes, data governance standards, and developing best practices
• Managing stakeholder expectations, project timelines, and prioritization for cross-functional data initiatives

Preferred Qualifications

• Familiarity with conversational analytics, natural language interfaces, or chatbot integration for BI
• Experience deploying predictive analytics or AI models into reporting workflows
• Familiarity with project management tools such as JIRA, Asana, or Monday.com
• Prior experience in a consulting environment, especially in marketing or technology services

Benefits

• Remote-first culture
• Unlimited PTO
• Extended Holiday break (Winter)
• Flexible schedules
• Work from anywhere options*
• 100% paid parental leave
• 401(k) matching
• Medical, Dental, Vision, Life, Pet Insurance
• Sponsored life insurance
• Short Term Disability insurance and additional voluntary insurance
• Annual Class Pass credits and more!