Lead Marketing Data Engineer
Canada
Applications have closed
Bounteous
We co‑innovate with the world’s most ambitious brands to create transformative digital experiences. Learn more about our work and our unique co-innovation model.Role and Responsibilites
- Work closely with clients in a wide range of industries to identify and elevate opportunities for data-driven solutions, improving digital maturity in audience targeting and personalization
- Oversee data engineering projects, including marketing data warehousing and ML modeling pipelines
- Lead and guide a team of data engineers, ensuring quality of work and enabling individual career growth
- Work with data scientists to deploy end-to-end ML models at scale
- Perform discovery and solutioning activities with clients, define and scope projects, and attend client calls as the SME throughout the sales process
- Create data infrastructure diagrams and develop ETL solutions leveraging various cloud technologies and third-party tools
- Design Marketing Data Warehouses, ingesting data from web analytics, CRM, and media platforms, using appropriate cloud infrastructure for automation including Airflow, Apache Beam, microservices, and other solutions.
- Propose component solutions when necessary, with sensitivity to MVP needs
- Articulate complex ideas in a clear and concise manner, both in speech and writing; understand the audience and tailor messages accordingly
- Drive collaboration by facilitating brainstorming, peer reviews, and trainings to increase technical capabilities of the team; drive the adoption of git for quality, scalable solutions
- Monitor data engineering team bookings and maintain established utilization rates
- Follow developments in the field by continuous learning and proactively champion promising new methods relevant to the problems at hand
Requirements
- Bachelor’s degree and 7+ years experience in data engineering for digital marketing
- 2+ years in a consulting role or performing product management tasks
- 2+ years coaching a team
- Advanced skills in SQL and Python skills (Spark, Scala a plus)
- Experience using Google Cloud Platform for data warehousing and modeling pipelines (Azure, AWS a plus)
- Experience applying data in Google Marketing Platform (Search/Display, Optimize, Ads Data Hub)
- Experience with leveraging third-party marketing tools and APIs for data warehousing
- Experience working with large scale data in Google Analytics or Adobe Analytics
- Experience with Customer Data Platforms a major plus
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Research shows that women and other underrepresented groups apply only if they meet 100% of the criteria of a job posting. If you have passion and intelligence, and possess a technical knack (even if you’re missing some of the above), we encourage you to apply.
Bounteous is focused on promoting an inclusive environment and is proud to be an equal opportunity employer. We celebrate the different viewpoints and experiences our diverse group of team members bring to Bounteous. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law.
Bounteous is willing to sponsor eligible candidates for employment visas.
For employment opportunities based in Canada:Bounteous is an equal opportunity employer. We embrace diversity and are committed to creating an inclusive workplace. In accordance with the Ontario Human Rights Code and Accessibility for Ontarians with Disabilities Act, 2005, accommodation will be provided at any point throughout the hiring process, provided the candidate makes their accommodation needs known to Bounteous. We welcome applications from all qualified candidates.
**Must be legally eligible to work in Canada.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow APIs AWS Azure Consulting Data Warehousing Engineering ETL GCP Git Google Cloud Machine Learning Microservices ML models Pipelines Python Research Scala Spark SQL
Perks/benefits: Career development
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