Lead and manage a data engineering team, overseeing data infrastructure design, building data pipelines, and ensuring data quality for business intelligence and analytics.
The Role
We are looking for a Director of Data Engineering & Business Intelligence to lead our data platform and analytics innovation efforts. In this role, you will oversee a team of data engineers and work cross-functionally to design and deliver reliable, scalable, and automated data infrastructure. This infrastructure powers reporting, analytics, and strategic decision-making across our business and our clients' businesses. You will help expand the capabilities of our reporting ecosystem by introducing new data sources, building modern reporting interfaces, and spearheading innovation in conversational analytics and real-time data delivery.
If you’re a strategic thinker who thrives on building data products and mentoring high-performing teams, we’d love to have you join us.
At Wpromote, we believe that great work is only possible with great people. Our goal is to build a better, more inclusive work environment and support our people at every stage of their careers by prioritizing a strong work-life balance through our policies and benefits listed below. As a Best Place to Work according to both Ad Age and Glassdoor and Adweek’s Fastest Growing Digital Agency, we are moving fast to expand our teams and bring new experts into the fold to keep pushing the boundaries of what’s possible in marketing.
We offer:
-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!
The anticipated annual salary for this role will range from $140,000 - $175,000, based on consideration of a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, education and certifications, competitive benchmarks, scope of responsibility, market dynamics, geographic location, and respective state’s salary threshold for exempt employees. The total compensation package for this role will include benefits (listed above) and an annual performance bonus.
This role has an associated annual target bonus component which is paid out based on a number of factors which include Company performance, department performance, and individual performance. Bonuses are not guaranteed and you must be an active employee in good standing and not on a Performance Improvement Plan to be eligible for the annual bonus.
*This position may be performed remotely in most states within the US, with some exclusions
**While this role offers the flexibility to work remotely, we have office hubs in Los Angeles, Chicago, and New York, where you can join in on learning and development opportunities, fun events, take advantage of a space to work, and collaborate in person!
***This position is not eligible for immigration sponsorship
Important Notice: Beware of Job Scams
Wpromote recruiting communications will only be sent through our official channels via wpromote.com email addresses. If you see a posting elsewhere that is not reflected on Wpromote.com/careers, it may be a fraudulent posting. We do not require payment or fees during the hiring process nor do we request sensitive information, such as Social Security numbers or payment details. Please safeguard yourself against possible scams and contact us if you encounter any suspicious activity.
#LI-JJ
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You Will Be
- 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
You Must Have
- 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)
Nice To Have
- 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
Wpromote is committed to bringing together individuals from different backgrounds and perspectives, providing employees with a safe and welcoming environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.
Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Wpromote.
This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. For more information on E Verify, or if you believe that your employer has violated its E-Verify responsibilities, please contact DHS.
Top Skills
Adobe Analytics
Airflow
BigQuery
Cloud Composer
Dbt
Google Analytics
Looker
Power BI
Redshift
Snowflake
SQL
Tableau
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