We are seeking a Data Engineering Lead for our Data Science & Engineering practice to design custom marketing data pipeline solutions for our clients across various industries and maturity levels. The role involves direct client consulting and solutioning, with a heavy focus on internal best practices and evolving our capabilities. The ideal candidate has a broad knowledge of the digital marketing analytics space and deep technical expertise in Cloud and Marketing Platforms. 

Responsibilities:

• 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

Required:

• 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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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.