Data Engineering Manager

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.

Who You’ll Be Working With

At PMG, data is more than numbers—it’s the foundation for smart decision-making, powerful AI-driven solutions, and meaningful brand connections. As a Lead Data Engineer, you’ll be at the forefront of shaping Alli, our cloud-based AI-powered platform that helps some of the world’s most recognizable brands make smarter marketing decisions.

You’ll lead a high-performing team of data engineers, collaborating with Product Managers, Designers, and cross-functional teams to design and deploy scalable, efficient, and reliable data products. Your work will directly impact how brands leverage AI and data to optimize performance, drive innovation, and stay ahead in the digital landscape.

This role isn’t just about building data pipelines—it’s about leading a team that’s constantly pushing boundaries, exploring emerging AI technologies, and transforming how brands engage with their audiences. If you’re excited by the intersection of data, AI, and marketing technology, this is your chance to make a lasting impact.

What You’ll Be Doing

• 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.

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

What We Offer

• Professional Development: Take advantage of our learning and development programs, mentorship opportunities, and career advancement support.
• Generous PTO: Benefit from our generous paid time off policy to recharge and spend time with loved ones.
• Parental Leave: We provide paid parental leave to support your family during important life events.
• Retirement Plans: Plan for your future with our competitive 401(k) matching program.
• Fertility and Family Support: Access fertility benefits for all team members and their spouses.
• Pet Insurance: Protect your pet's health and your finances.
• Lifestyle Spending Accounts: Enjoy 100% company-funded accounts to promote healthy habits and well-being.
• Annual Bonus: All employees are eligible for an annual bonus.
• Volunteering Opportunities: Receive 8 give-back hours to volunteer in your local communities.
• AI Enterprise License: Access AI Enterprise accounts and participate in weekly AI training sessions to empower and ensure AI safety.

What Sets Us Apart

Being part of PMG means joining a company culture that’s unmatched in digital. We're dedicated to working hard to serve our employees and clients, delivering value, results, and innovation—which often requires true grit and agility. We believe in taking care of ourselves and each other to continuously improve in every way.

In alignment with our core values to be inclusive and always change for the better, PMG is committed to creating a more diverse and inclusive culture, and we are proud to be an equal opportunity employer. We believe that we only change for the better by bringing diverse perspectives to our company. PMG recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.