Leads the North American AWS practice strategy and roadmap, builds AWS partnerships and joint pipeline, and drives client solutions, business development, and growth across consulting engagements.
Lead data engineering work to prepare Snowflake datasets for a Dataiku proof of concept, building reliable pipelines and data models while ensuring data quality for downstream analytical workflows.
We’re looking for a hands-on Data Engineer to build and maintain ETL pipelines, implement data quality validations, and support the delivery of certified, versioned data products.
As a Senior FullStack Engineer, you will lead backend architecture, design scalable APIs, and manage cloud infrastructure while mentoring junior engineers.
Lead backend architecture and API design while providing hands-on frontend development, mentoring engineers, and ensuring seamless integration in a dynamic full-stack environment.
Lead AI Engineer responsible for project delivery, team mentorship, and the design of robust AI systems, ensuring high standards and effective stakeholder communication.
The ideal candidate will build and maintain scalable data solutions in Databricks, focusing on data governance, audience activation, and marketing analytics.
As a Lead Data Engineer, you will design, develop, and maintain enterprise data solutions, ensuring data accuracy and accessibility while optimizing high-volume workloads.
As a Lead Data Engineer, you will design, develop, and maintain enterprise data solutions, ensuring data accuracy and accessibility while optimizing high-volume workloads.
The Manager of Marketing Planning & Delivery will drive marketing campaigns from planning through execution, coordinating creative development and stakeholder approvals in a regulated environment.
Design, develop, and optimize scalable data pipelines and cloud-based data warehouse solutions as a Senior Data Engineer with expertise in Python, Matillion, and Snowflake.
Design, build, and optimize scalable data pipelines and analytics solutions on the Azure cloud platform as an experienced Azure Databricks Engineer with expertise in Python, SQL, and Apache Spark.
Own the strategy, development, and go-to-market execution for data products that enhance audience targeting and measurement in paid media campaigns.
Lead Data Engineer responsible for designing and implementing scalable data ingestion and transformation solutions using SQL and dbt, while optimizing data pipelines and ensuring data quality.
Own the architecture and delivery of Intelligent Applications, leading multiple workstreams while mentoring engineers and operationalizing LLM delivery into safe workflows.
The Lead Data Scientist will leverage data to support marketing initiatives, analyze campaign performance, and generate actionable insights for a client in the hospitality industry.
As a Lead Data Scientist, you'll analyze customer data to uncover insights, define success metrics for AI initiatives, and translate findings into actionable business recommendations.
The Programmatic Campaign Manager will execute, optimize, and report on programmatic media investments, ensuring alignment with brand guidelines and contributing to business outcomes.
Seeking a proactive Marketing Enablement & Project Manager to develop sales enablement materials and manage cross-functional projects for North American Marketing Services.
Lead end-to-end testing and validation for a data monetization program, designing rigorous measurement analyses and turning complex results into clear, defensible insights for partners and executives.
Own the strategy and execution of integration points for a data monetization platform, ensuring technical clarity and reliability in ad tech and martech integrations.
Lead the design and implementation of scalable data ingestion and validation solutions using Snowflake and AWS, ensuring high-quality data pipelines for critical business workflows.
Design and build scalable backend systems using Java, lead architecture for distributed systems, and mentor engineers while managing big data pipelines and containerized workloads.
Lead the design and implementation of scalable backend systems using Java, while mentoring engineers and optimizing data processing pipelines in a dynamic environment.
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