Data Engineer-1

About Us:

We are brand builders who focus our passion and creativity to build Calvin Klein and TOMMY HILFIGER into the most desirable lifestyle brands in the world and at the same time position PVH as one of the best-performing brand groups in our sector. Guided by our values and enabled by our scale and global reach, we are driving fashion forward for good, as one team with one vision and one plan. That’s the Power of Us, that’s the Power of PVH+.

One of PVH’s greatest strengths is our people. Our collective desire is to create a workplace environment where every individual is valued, and every voice is heard, and we are committed to fostering an inclusive and diverse community of associates with a strong sense of belonging. Learn more about Inclusion & Diversity at PVH here.

POSITION SUMMARY:

As a Data Engineer, you will play a crucial role in designing, building, and optimizing data pipelines that support analytics, machine learning, and business intelligence across the organization. You will be responsible for leading a team of data engineers, fostering a culture of collaboration and innovation, and ensuring the successful implementation of scalable data solutions that align with the PVH Data Powerhouse strategy.

You will work closely with data architects, analysts, and business leaders to ensure that our data platforms meet the organization's evolving needs while maintaining high standards of data governance, security, and performance. Your leadership will be instrumental in guiding the team towards best practices in cloud-based data engineering, DevOps, and agile methodologies.

PRIMARY RESPONSIBILITIES/ACCOUNTABILITIES OF THE JOB:

• Develop, maintain, and optimize data pipelines using Azure Data Factory, Databricks, Delta Lake, and PySpark.

• Implement best practices for data modeling, transformation, and storage within cloud-based environments.

• Work with senior engineers and business stakeholders to understand data requirements and support scalable solutions.

• Monitor and troubleshoot data workflows to ensure reliability, performance, and cost efficiency.

• Assist in data governance, security, and compliance efforts by following established policies.

• Contribute to documentation, including data flow processes and troubleshooting guides.

• Support automation and CI/CD pipeline initiatives to improve data pipeline efficiency.

• Stay updated on emerging technologies and provide input on improving data infrastructure.

• Collaborate with cross-functional teams, including Data Science, Product, and IT, to enable data-driven decision-making.

QUALIFICATIONS & EXPERIENCE:

Experience:

• Training in Computer Science or a related degree, or equivalent professional experience.

• 6+ years of experience developing SQL scripts and procedures to process data

• 3+ years of experience developing in Python and familiarity with software engineering best practices (test-driven design, object-oriented programming).

• Experience with batch processing data pipelines

• Passion for solving customer problems through innovation. Proven track record of building product that customers love

• Experience building products with diverse engineering teams and stakeholders, collaborating and negotiating across teams

• Excellent interpersonal, written and verbal communication skills; demonstrated ability to develop strong relationships with and effectively communicate complex ideas to technical and non-technical audiences

• Demonstrated ability to communicate, engage and manage through influence across a large global organization

• Excellent project management (Agile) and time management skills

Education:

B.S. degree in a technical field or equivalent work experience

Skills:

Required:

• Azure Data Factory, DataBricks, Delta Lake, PySpark
• Cloud environment (Azure preferably, AWS, Google)

• Preferred:
• Large-scale / distributed computing and analytics (Hadoop/Spark etc.)
• Knowledge of SQL
• Software development / engineering a plus
• Source control & CI/CD and collaboration tools (Git etc.)
• Scaled model testing, integration and deployment
• Microsoft tech stack, Azure preferred
• Agile ways of working (2-week sprints, backlog, retrospective etc.)

Personal skills:

• Effective communication
• Ability to manage multiple priorities
• Understanding of risk

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INTERNAL & EXTERNAL CONTACTS:

Internal: Interacts with multiple levels across many PVH departments including business areas.

External: Technology vendors and external consultants.

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SUPERVISORY RESPONSIBILITIES:

Direct: Business Analysts both associates and consultants

Indirect: Cross-functional teams based on areas of focus and deliverables

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BUDGETARY RESPONSIBILITIES:

Provides input and budgetary requirements for projects in partnership with other TPG departments and respective business groups.

Responsible for adhering to and managing Product direct and indirect expenses

DECISION MAKING:

• Technology products and partners selection in collaboration with other stakeholders
• Roadmap and heatmap decisions for owned products
• Project and team level decision making including work prioritization, risk/issue management, and escalation management

RESOURCEFULNESS/CREATIVITY:

Ensure that all technology solutions address business demands and are both reliable and cost effective. Requires strong communication skills and the ability to foster teamwork across multiple groups and/or regions. Creative problem solver who can negotiate and influence decisions.

ENVIRONMENT:

This global role requires the ability to work in a fast-paced environment and handle multiple tasks simultaneously. Domestic and international travel may be required.

PVH Corp. or its subsidiary ("PVH") is an equal opportunity employer and considers all applicants for employment on the basis of their individual capabilities and qualifications without regard to race, ethnicity, color, sex, gender identity or expression, age, religion, national origin, citizenship status, sexual orientation, genetic information, physical or mental disability, military status or any other characteristic protected under federal, state or local law. In addition to complying with all applicable laws, PVH is also committed to ensuring that all current and future PVH associates are compensated solely on job-related factors such as skill, ability, educational background, work quality, experience and potential.