WE ARE PMG

Named Ad Age Best Places to Work for 9 years in a row and Fast Company Best Workplaces for Innovators since 2022, PMG is a global independent marketing services and technology company that seeks to inspire people and brands that anything is possible. Driven by shared success, PMG utilizes business strategy and transformation, creative, media, and insights—as well as its proprietary marketing intelligence platform, Alli—to deliver cutting-edge digital solutions and innovative media strategies. Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Best Western Hotels & Resorts, CKE Restaurants, Experian, Intuit, Kohler, Nike, Sephora, Therabody, and Whole Foods spans 85+ countries.

NICE TO HAVE QUALIFICATIONS:

• Interest or familiarity with the Digital Marketing industry.
• Prior experience working with Large Language Models (LLMs).
• Knowledge of infrastructure-as-code tools like Terraform or Ansible to streamline deployment processes.

EXPERIENCE WITH THE FOLLOWING TECHNOLOGIES:

• Databases & Data Warehouses: BigQuery, Snowflake, Postgres, Redis, MongoDB, Redshift
• Cloud Platforms: AWS, GCP
• DevOps & Infrastructure: Docker, Terraform
• Programming Languages: Python, JavaScript (NodeJS, React), Go
• AI Technologies: OpenAI, Bedrock, Vertex, LangChain
• System Architecture: RESTful APIs, WebSockets

• 5+ years of experience in data pipeline development, delivering scalable and maintainable solutions.
• 1+ years of experience leading and mentoring a team of engineers, fostering a culture of innovation, collaboration, and growth.
• 2+ years of experience with dbt or other data transformation platforms to optimize and manage data workflows.
• Proficiency in backend technologies, including Python and JavaScript (Node.js) for building and managing data-driven applications.
• Strong expertise in RESTful APIs, data architecture, and SOLID engineering principles to ensure efficient and maintainable solutions.
• Hands-on experience with automated testing, CI/CD pipelines, and cloud-based deployments to enhance system reliability and performance.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes for scalable application management.
• Strong knowledge of cloud platforms like AWS, GCP, or Azure, with hands-on experience using data services like Redshift, BigQuery, or Snowflake.
• Experience working with ETL frameworks and data modeling techniques to optimize data accessibility and performance.
• Understanding of data governance, security, and compliance best practices to maintain data integrity across systems.
• Strong ability to communicate technical concepts clearly across teams, aligning engineering efforts with business objectives.
• A commitment to curiosity and adaptability as a continual learner, staying at the forefront of media innovation while prioritizing client success with a customer-focused mindset that seeks opportunities to deliver meaningful value.
• A dedication to people-focused leadership, fostering collaboration, innovation, and professional growth by leading by example and nurturing strong relationships that empower others to excel.