You will design, build, and deploy complex data solutions to support AI, machine learning, and business intelligence initiatives. Additionally, you will guide customers through their data journey while ensuring data governance, quality, and security standards are met.
Drive product vision, strategy, and roadmap execution across the Ad Tech ecosystem. Partner with cross-functional teams to deliver customer-centric solutions from concept to launch.
The QA Engineer will translate requirements into test plans and execute automated tests to ensure data integrity and software quality. They will collaborate with engineering teams to investigate defects and leverage AI tools to improve automation efficiency.
You will lead the design, development, and deployment of scalable machine learning models and predictive analytics pipelines. Additionally, you will collaborate with cross-functional teams to translate business challenges into data-driven solutions and mentor junior team members.
Collaborate with clients to design business architectures and identify opportunities for leveraging data and AI to improve business outcomes. Bridge the gap between business strategy and technical execution by translating complex challenges into scalable data solutions.
You will design, build, and operationalize complex data solutions while guiding customers to achieve their data engineering and AI goals. Additionally, you will collaborate across teams to support delivery, ensure data quality, and educate end users on analytical environments.
You will collaborate with a cross-functional team to build complex, scalable data engineering and AI solutions. Your role involves driving technical strategies and mentoring junior team members while applying best engineering practices.
The Solutions Architect will design and implement scalable data infrastructure while serving as a trusted advisor to customers on Databricks solutions. This role involves balancing billable project work with pre-sales support, technical leadership, and cross-functional team mentorship.
The Solutions Architect will design and deploy scalable data engineering and AI solutions while serving as a trusted advisor to customers. This role involves balancing technical execution with pre-sales support to drive customer success and project delivery.
You will design, build, and deploy complex data solutions while collaborating with internal teams and customers to support their data journey. Additionally, you will provide technical guidance, ensure data quality, and maintain data governance across multiple customer accounts.
You will design, build, and deploy complex data solutions to support AI, machine learning, and business intelligence initiatives. Additionally, you will collaborate with customers to provide technical guidance and ensure the quality and security of data pipelines.
Design, build, and deploy scalable data solutions and pipelines to support AI, ML, and BI insights for customers. Collaborate with internal teams and clients to operationalize complex data transformations and ensure data quality.
Design, build, and deploy scalable data solutions and pipelines to support AI, ML, and BI insights for customers. Collaborate with internal teams and clients to operationalize complex data transformations and ensure data quality.
The role involves designing and deploying scalable data architectures and ML/AI applications using Databricks for financial services clients. It requires a balance between technical execution, project oversight, and pre-sales support to drive customer success.
The Global Controller will own the end-to-end monthly close and consolidation for the US parent and international subsidiaries. They are responsible for designing scalable internal controls, managing intercompany flows, and overseeing global tax and audit compliance.
The role involves designing and deploying comprehensive data solutions and serving as a trusted advisor for customers using Databricks. Responsibilities are split evenly between billable technical execution and pre-sales support activities.
Design and implement scalable data infrastructure and security solutions for customers as a trusted advisor. Balance time between billable project delivery and pre-sales technical support to drive Databricks adoption.
