We Turn Challengers Into Champions
Senior Director, Data Engineering, Business Intelligence
Location
United States
Posted
3 hours ago
Salary
$140K - $195K / year
Seniority
Senior
Job Description
Senior Director, Data Engineering, Business Intelligence
Wpromote
• Leading and mentoring a team of data engineers, business intelligence engineers, and reporting solution engineers to build and maintain accurate, dependable, and automated data pipelines and data models • Overseeing the architecture and design of our BI ecosystem across internal and client-facing environments while remaining hands-on in the design and development of client-facing solutions • Driving innovation by exploring new APIs, data providers, and integration approaches to expand our data capabilities • Serving as a coach-player across client work, guiding technical approach and best practices while directly contributing to pipeline development, data modeling, QA, troubleshooting, and delivery • 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, analytics, and client-specific customization • 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, documentation practices, and engineering best practices to improve reliability and consistency across client deliverables • Leading data modernization by utilizing AI-assisted workflows and automation to manage client deliverables efficiently and effectively • Managing stakeholder expectations, project timelines, prioritization, and technical tradeoffs for cross-functional data initiatives while ensuring high-quality execution on active client work
Job Requirements
- 12+ 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, Adobe, Meta, Salesforce, etc.)
- Background in digital analytics platforms (e.g., Google Analytics, Adobe Analytics)
- 5+ 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
- An understanding of modern data architecture patterns (e.g., event streaming, data lakehouses)
- Experience in deploying predictive analytics and AI models into engineering and reporting workflows
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!
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