Manager Data Engineering

Are you ready to drive PepsiCo’s digital evolution and accelerate transformation across our global operations?

What PepsiCo Enterprise Data Operations (EDO) does:
• Maintain a predictable, transparent, global operating rhythm that ensures always-on access to high-quality data for stakeholders across the company.
• Responsible for day-to-day data collection, transportation, maintenance/curation and access to the PepsiCo corporate data asset.
• Work cross-functionally across the enterprise to centralize data and standardize it for use by business, data science or other stakeholders.
• Increase awareness about available data and democratize access to it across the company.

As a Data Engineering Manager, you will be the key technical expert overseeing PepsiCo's data product build & operations and drive a strong vision for how data engineering can proactively create a positive impact on the business. You'll be empowered to create & lead a strong team of data engineers who build data pipelines into various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. As a member of the data engineering team, you will help lead the development of very large and complex data applications into public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. You will work closely with process owners, product owners and business users. You'll be working in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems.

Your day to day with us:

• Provide leadership and management to a team of data engineers, managing processes and their flow of work, vetting their designs, and mentoring them to realize their full potential.
• Act as a subject matter expert across different digital projects.
• Oversee work with internal clients and external partners to structure and store data into unified taxonomies and link them together with standard identifiers.
• Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products.
• Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance.
• Responsible for implementing best practices around systems integration, security, performance and data management.
• Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape.
• Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions.
• Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners.
• Develop and optimize procedures to “productionalize” data science models.
• Define and manage SLA’s for data products and processes running in production.
• Create documentation for learnings and knowledge transfer and audit reusable packages or libraries.

What you will need to succeed:

• Over 8 years of experience in technology, including 6+ years in software development, data engineering, and systems architecture.
• Extensive expertise (6+ years) in Data Lake Infrastructure, Data Warehousing, and Analytics tools.
• Skilled in SQL performance tuning and optimization, with hands-on programming in Python, PySpark, Scala, and related technologies.
• 4+ years of cloud data engineering experience, proficient in at least one major cloud platform (Azure, AWS, GCP).
• Advanced knowledge of Azure cloud services; Azure Certification is an advantage.
• Proficient in data modeling, warehousing, and designing high-volume ETL/ELT pipelines.
• Experienced with data profiling and quality tools such as Apache Griffin, Deequ, and Great Expectations.
• Strong background in building and managing distributed systems for data extraction, ingestion, and processing of large datasets.
• Skilled in MPP database technologies like Redshift, Synapse, or Snowflake.
• Knowledgeable in running and scaling applications on cloud infrastructures and containerized services (e.g., Kubernetes).
• Experienced in version control (GitHub) and deployment/CI tools.
• Proficient in Azure Data Factory, Azure Databricks, and Azure Machine Learning tools.

Skills, Abilities, Knowledge:

• Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior level management.
• Proven track record of leading, mentoring, hiring and scaling data teams.
• Strong change manager. Comfortable with change, especially that which arises through company growth. Able to lead a team effectively through times of change.
• Ability to understand and translate business requirements into data and technical requirements.
• High degree of organization and ability to manage multiple, competing projects and priorities simultaneously.
• Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment.
• Strong leadership, organizational and interpersonal skills; comfortable managing trade-offs.
• Foster a team culture of accountability, communication, and self-management.
• Proactively drives impact and engagement while bringing others along.
• Consistently attain/exceed individual and team goals.
• Ability to lead others without direct authority in a matrixed environment.
• Highly influential and having the ability to educate challenging stakeholders on the role of data and its purpose in the business.
• Understands both the engineering and business side of the Data Products released.
• Places the user in the center of decision making.
• Teams up and collaborates for speed, agility, and innovation.
• Experience with and embraces agile methodologies.
• Strong negotiation and decision-making skill.
• Experience managing and working with globally distributed teams.

What makes us different?

• Hybrid work model: combination of remote and collaborative office experience to enable innovation.
• Entrepreneurial environment in leading international company.
• Professional growth possibilities & learning opportunities.
• Variety of benefits to support your physical, emotional and financial wellbeing.
• Volunteering opportunities to help external communities.
• Diverse team with more than 30% of female representation & over 30 nationalities.
• Have a stake in D&I strategy and bring your whole self to work.

About PepsiCo

We believe that culture should be at the cornerstone of everything we do at PepsiCo. We are agile, innovative and not afraid of failure. We want our team to come to work every day excited to explore new ways to bring enjoyment, refreshment and fun to the world.

PepsiCo Positive (pep+) is the future of our organization – a strategic end-to-end transformation, with sustainability at the center of how we will create growth and value by operating within planetary boundaries and inspiring positive change for the planet and people.

So, if you’re ready to be a part of a playground for those who think big, we’d love to chat.

*We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability.