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Data Engineering Tech Lead

Manager, Portfolio Engineering – Stamford, CT or Richmond, VABe a part of a revolutionary change!At Philip Morris International (PMI), we’ve chosen to do something incredible. We’re totally transforming our business and building our future on one clear purpose – to deliver a smoke-free future.With huge change, comes huge opportunity. So, if you join us, you’ll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions. Our success depends on people who are committed to our purpose and have an appetite for progress.Our beautiful HQ in Stamford, CT is just steps away from the Stamford Metro-North Train Station and easily accessible from NYC.Your ‘day To Day’We are seeking a highly skilled and innovative Data Engineering and Data Services Tech Lead/Manager to lead our Data Platform as a Service (DPAAS) team. This role combines hands-on technical expertise with leadership responsibilities to deliver high-quality data assets, products, and services along with adopting AI, ML & GenAI based solutions to accelerate fit for purpose and data availability for insights activation. The ideal candidate will have deep technical acumen, experience handling structured and unstructured data, and a strong understanding of agile principles and automation practices across QA, DevOps, and security governance.• Design, develop, and implement scalable and secure data architectures and pipelines using the DPAAS tech stack (Snowflake, AWS, Azure, Matillion, Atlan, Profisee, Power BI, and Databricks).• Drive automation in QA, DevOps, and security governance to enhance platform reliability, security, and operational efficiency.• Lead and mentor a team of data engineers and architects, fostering a culture of technical excellence and continuous learning.• Translate business requirements into technical designs, ensuring alignment with business goals and platform capabilities including structured and unstructured data.• Implement best practices in Data Engineering, performance optimization, and reliability of data pipelines.• Work with data scientists to operationalize AI/ML models and integrate them into production-ready data pipelines.• Develop and monitor data quality metrics and ensure business data and reporting needs are met ensuring data privacy and compliance with relevant regulations.Who We’re Looking For• REQUIRED – Legally authorized to work in the U.S.• REQUIRED – Commutable distance to Stamford, CT or Richmond, VA.• Extensive hands-on experience with the DPAAS tech stack: Snowflake, AWS, Azure, Matillion.• Expertise in data pipeline development, ETL/ELT processes, and cloud-based data warehouse optimization.• Familiarity with programming languages such as SQL, Python, and Scala.• Working experience using tools like Atlan, Profisee for MDM, Power BI, and Databricks preferred• Proven experience managing and mentoring teams in data engineering or related fields.• Demonstrated expertise in automating QA processes, DevOps pipelines, FinOps and security governance practices.• Knowledge of data mesh principles and implementing distributed data architecture.Annual Base Salary RangeConnecticut: $128,000 - $160,000Virginia: $115,200 - $144,000What We Offer• We offer a competitive base salary, annual bonus (applicable based on level of position), great medical, dental and vision coverage, 401k with a generous company match, incredible wellness benefits, commuter benefits, pet insurance, generous PTO, and much more!• We have implemented Smart Work, a hybrid model of working that promotes flexibility in the workplace.• Seize the freedom to define your future and ours. We’ll empower you to take risks, experiment and explore.• Be part of an inclusive, diverse culture where everyone’s contribution is respected; Collaborate with some of the world’s best people and feel like you belong.• Pursue your ambitions and develop your skills with a global business – our staggering size and scale provides endless opportunities to progress.• Take pride in delivering our promise to society: To improve the lives of millions of smokers.PMI is an Equal Opportunity Employer.PMI is headquartered in Stamford, Conn., and its U.S. affiliates have more than 2,300 employees.PMI has been an entirely separate company from Altria and Philip Morris USA since 2008. PMI’s affiliates first entered the U.S. market following the company’s acquisition of Swedish Match in late 2022. Philip Morris International and its U.S. affiliates are working to deliver a smoke-free future. Since 2008, PMI has invested $12.5 billion globally to develop, scientifically substantiate and commercialize innovative smoke-free products for adults who would otherwise continue to smoke with the goal of transitioning legal-age consumers who smoke to better alternatives. In 2022, PMI acquired Swedish Match – a leader in oral nicotine delivery – creating a global smoke-free champion led by the IQOS and ZYN brands. The U.S. Food and Drug Administration has authorized versions of PMI’s IQOS electronically heated tobacco devices and Swedish Match’s General snus as Modified Risk Tobacco Products and renewal applications for these products are presently pending before the FDA. For more information, please visit www.pmi.com/us and www.pmiscience.com.6951

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What You Should Know About Data Engineering Tech Lead, Philip Morris International

Are you ready to take on an exciting challenge at Philip Morris International (PMI) as a Data Engineering Tech Lead? Located in the vibrant city of Stamford, CT, our company is undergoing a groundbreaking transformation to deliver a smoke-free future. In this pivotal role, you will lead the Data Platform as a Service (DPAAS) team, combining your technical expertise with leadership skills to design, develop, and implement top-notch data architectures and pipelines. You'll be responsible for managing structured and unstructured data while driving automation in QA, DevOps, and security governance. With a focus on harnessing AI, ML, and GenAI solutions, you will empower data scientists to operationalize models into production-ready environments. Your expertise in the DPAAS tech stack, which includes Snowflake, AWS, Azure, and Matillion, will play a crucial role as you mentor a talented team of data engineers and architects. If you're passionate about optimizing data processes and ensuring data quality and compliance, this could be the perfect opportunity to advance your career while contributing to meaningful change. And of course, we offer competitive salaries and a comprehensive benefits package to support your growth at PMI. Join us in making a difference!

Frequently Asked Questions (FAQs) for Data Engineering Tech Lead Role at Philip Morris International
What responsibilities can I expect as a Data Engineering Tech Lead at Philip Morris International?

As a Data Engineering Tech Lead at Philip Morris International, your responsibilities will include designing and developing scalable data architectures, managing a talented team, and driving the automation of QA, DevOps, and security processes. You will work on implementing the DPAAS tech stack, ensuring data quality, and integrating AI/ML models into production. Your role will be crucial in aligning technical designs with business goals while fostering a culture of continuous learning among your team.

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What qualifications are required for the Data Engineering Tech Lead position at PMI?

To qualify for the Data Engineering Tech Lead position at Philip Morris International, candidates must have extensive hands-on experience with the DPAAS tech stack, including Snowflake and AWS. Familiarity with programming languages such as SQL and Python, alongside proven team management skills in data engineering, are essential. Understanding automation in QA and security governance will also enhance your candidacy for this exciting role.

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How does Philip Morris International support the career growth of Data Engineering Tech Leads?

At Philip Morris International, we believe in empowering our employees to pursue their ambitions. As a Data Engineering Tech Lead, you will have the opportunity to develop new skills and take on leadership responsibilities while being part of a diverse culture that values collaboration and respect. Our expansive global presence, alongside our competitive compensation and benefits package, sets the stage for endless growth and development opportunities.

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What is the work environment like for a Data Engineering Tech Lead at PMI?

The work environment for a Data Engineering Tech Lead at Philip Morris International is dynamic and inclusive. Located in Stamford, CT, you will benefit from our Smart Work hybrid model, which promotes flexibility in the workplace. Collaborating with talented individuals from diverse backgrounds, you will play a key role in our mission to transform the company and make impactful contributions while enjoying a supportive atmosphere.

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What technologies will I work with as a Data Engineering Tech Lead at PMI?

In the Data Engineering Tech Lead position at Philip Morris International, you will work with a robust tech stack including Snowflake, AWS, Azure, Matillion, and Databricks. Your expertise will enable you to design and implement data pipelines and architectures while ensuring that data quality metrics are monitored, and compliance with privacy regulations is upheld, making it a challenging and rewarding opportunity.

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Common Interview Questions for Data Engineering Tech Lead
Can you describe your experience with the DPAAS tech stack?

When answering about your experience with the DPAAS tech stack, focus on specific projects you've worked on using technologies like Snowflake and AWS. Highlight how you've designed scalable architectures or developed data pipelines that improved performance or efficiency.

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How do you ensure data quality and compliance in your projects?

To answer this question, describe specific measures you take to monitor data quality, such as setting up metrics and dashboards. Discuss your approach to ensuring compliance with regulations and how you make data quality a priority throughout the project lifecycle.

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Describe a time when you had to lead a team through a complex problem.

When asked to describe a leadership experience, showcase a situation where you guided your team to resolve a complex issue. Emphasize your communication skills, the strategies you employed, and the successful outcome of the project.

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What strategies do you utilize for optimizing data pipelines?

In your answer, provide examples of strategies you've implemented for optimizing data pipelines. Discuss the use of automation, choice of tools, or changes in architecture that positively impacted performance or cost-effectiveness.

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How do you incorporate AI/ML into your data projects?

Explain your understanding of AI/ML integration in data projects and share examples of how you've collaborated with data scientists to operationalize AI/ML models. Discuss the processes you use to ensure these models fit seamlessly into production data pipelines.

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What is your approach to mentoring team members in technical skills?

When discussing your mentoring approach, highlight specific methods such as pair programming, encouraging innovative thinking, or leading knowledge-sharing sessions. Talk about the positive impact your mentorship has had on team productivity and personal growth.

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How do you stay current with industry trends in data engineering?

To respond to this question, mention strategies like attending workshops, joining online forums, or participating in professional organizations. Share specific trends you’re following in the data engineering field and how they could positively influence your work.

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How would you handle conflicts within your team?

Your answer should detail a constructive approach to conflict resolution. Discuss your communication style, emphasizing the importance of active listening and finding common ground, while maintaining focus on project goals and team dynamics.

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What do you consider best practices in data architecture design?

Discuss key principles of data architecture design, such as scalability, security, and compliance. Mention specific practices you've put in place in past projects that contributed to successful data management and consistent outcomes.

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Why do you want to work at Philip Morris International as a Data Engineering Tech Lead?

Share your enthusiasm for joining Philip Morris International, focusing on the company's commitment to transformation and innovation. Discuss how your skills align with their mission and how you see yourself contributing to their vision for a smoke-free future.

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DATE POSTED
March 20, 2025

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