Senior Data Engineer, Data Platforms

The Senior Data Engineer, Data Platforms is a pivotal role on our Data Team - with broad responsibility. You're not just managing data; you're pioneering the very platforms that underpin our data and analytics engineering pursuits across the company's extensive landscape. You will own state-of-the-art big data platforms that power the Global Partners data stack -- with your work standing as the backbone supporting all data-centric innovations.You are fluent with platforms like AWS, Snowflake, Dagster, and dbt at your fingertips, and deploying via tools such as Kubernetes, Docker, and Terraform being second nature, you are primed to spearhead our pursuit of data excellence. Your vast experience, extending from data storage best practices to continuously assessing and integrating new technologies, ensures that Global Partners stays ahead of the curve. You are a problem solver and an automation enthusiast who will be responsible for deploying robust solution for data engineering and data platform management.At the heart of it all, you're not just an engineer; you see the art in orchestrating data. As you engage with teams, provide strategic guidance, and champion the consistent adoption of best practices, you're also shaping the future of data analytics. If you're ignited by the prospect of being at the helm of technological evolution, where every decision melds strategy with data - Join us. Global Partners offers a collaborative team and an environment where we actively invest to create a culture of data driven excellence.

At Global Partners, business starts with people. Since 1933, we’ve believed in taking care of our customers, our guests, our communities, and each other—and that belief continues to guide us.

The Global Spirit is how we work to fuel that long term commitment to success. As a Fortune 500 company with 90+ years of experience, we’re proud to fuel communities—responsibly and sustainably. We show up every day with grit, passion, and purpose—anticipating needs, building lasting relationships, and creating shared value.

• Architect and implement scalable, cloud-native data platforms that serve as the foundation for all data engineering initiatives across the organization, utilizing technologies such as AWS, GCP, or Azure, Python, Docker, Kubernetes
• · Automate deployment (CI/CD) pipelines for data infrastructure and applications, leveraging tools like Jenkins, GitLab CI,GitHub Actions to ensure rapid, reliable deployments.
• · Implement Infrastructure as Code (IaC) practices using tools such as Terraform or CloudFormation to manage and version control cloud resources.
• · Develop and maintain robust data orchestration workflows using modern tools like Apache Airflow, Dagster, or Prefect, ensuring efficient data processing and transformation.
• · Develop automated solutions and self-service platforms to enable efficient onboarding of developers to efficiently set up, configure, and monitor their data environments.
• · Optimize data storage and processing systems, including data lakes and data warehouses (e.g., Snowflake, BigQuery, Redshift), to ensure cost-effectiveness and performance at scale.
• · Implement observability and monitoring solutions for data pipelines and infrastructure using tools like Prometheus, Grafana, or DataDog to ensure system reliability and performance.
• · Lead the adoption of DataOps practices, fostering collaboration between data engineering, data science, and operations teams to streamline the entire data lifecycle.

• · Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience in Data Engineering, DataOps, MLOps, Software Engineering with a minimum of 5 years’ experience or 7 years’ experience, in lieu of an applicable degree.
• · Strong proficiency in designing and implementing scalable, cloud-native (containerized) data platforms using Infrastructure as Code (e.g., Terraform, Docker, Kubernetes).
• · Advanced programming skills in Python focusing on data-intensive applications. Strong SQL proficiency and experience with cloud data warehouses (e.g., Snowflake, BigQuery) required
• · Proven track record in designing and implementing CI/CD pipelines for data infrastructure and applications, using tools like Jenkins, GitLab CI, or GitHub Actions
• · In-depth knowledge of big data technologies (e.g., Apache Spark, Kafka) and data orchestration tools (e.g., Apache Airflow, Dagster). Experience with data transformation frameworks like dbt and ETL/ELT processes in cloud environments
• · Strong background in data security, governance, and metadata management. Experience implementing IAM/RBAC policies, encryption, and data access controls in cloud environments.
• · Proficiency in implementing monitoring, logging, and alerting solutions for data infrastructure (e.g., Prometheus, Grafana, ELK stack). Familiarity with serverless architectures is a plus.
• · Ability to design and develop automated tools and self-service platforms enabling efficient data environment setup and management for data scientists and analyst.
• · Experience in optimizing data storage and processing systems for cost-effectiveness and performance at scale. Familiarity with MLOps and integrating ML models into production.
• · Exceptional team player with strong communication skills, ability to work with cross-functional teams, and a willingness to mentor and share knowledge.
• · Proficiency in modern Agile development methodologies, coupled with excellent problem-solving abilities and a metrics-first mindset
• Bachelor's Degree

Pay Range

$136,200.00 - $204,200.00

The pay range for this position is outlined above. The final amount offered at the start of employment is determined based on factors including, but not limited to, experience level, knowledge, skills, abilities and geographic location, and the Company reserves the right to modify base salary at any time, including for reasons related to individual performance, Company or individual department/team performance and market factors.

Our Commitments to You

Coins! We offer competitive salaries and opportunities for growth. We have an amazing Talent Development Team who create trainings for growth and job development.

Health & Wellness - Medical, Dental, Visions and Life Insurance. Along with additional wellness support.

The Road Ahead – We offer 401k and a match component!

Professional Development - We provide tuition reimbursement; this benefit is offered after 6 months of service.

What to Expect From the Hiring Process

We value passion and potential. Please apply if you’re qualified and interested—we’d love to hear from you.

A member of our Talent Acquisition team will review your application and may connect you with the hiring manager if your experience is a strong match.

Interviews are conducted virtually and in person, depending on the role. We’ll provide more details about next steps if selected to move forward.

Global Partners LP is an equal opportunity employer. We foster a company culture where ideas from all people help us grow, move and thrive. We embrace the diversity of all applicants and do not discriminate against race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other basis prohibited by federal, state or local law. If you have a disability and need an accommodation to apply, please contact our recruiting department at 781-747-9675 or 781-7GP-WORK.

Disclaimer. At Global Partners, we don't use lie detector tests for any employment decisions. We follow all the rules and regulations, so we need to let you know. In Massachusetts, it's illegal to require or administer a lie detector test as a condition of employment of continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.