Lead Data Architect

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

PepsiCo is using the power of data to transform the way our world famous portfolio of brands are sold every day. Our Data Science & Analytics group influences every aspect of how we sell and move our products. In just a short period of time, they’ve built new capabilities that have defined the data science roadmap across all of our brands. Members of our team solve complex problems facing our rapidly changing business and get to see their work come to life in the real world.

Join PepsiCo’s Data Management and Operations team which develops quality data collection processes, maintains the integrity of our data foundations and enables business leaders and data scientists across the company to have rapid access to the data they need for decision-making and innovation.

Role summary:

As a Principal Data Architect 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. 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.

What will you be doing more specifically:

• Build the data supply chain & the enterprise data products that meet high performance, high availability, and maintainability standards, using current and emerging big data technologies:
• Design scalable patterns and architecture to support both batch and real-time data products & platform using analytics technologies such as SQL Data Warehouse, Spark, DataBricks,Azure Synapse or other Cloud data warehousing technologies.
• Work with product managers , data stewards and data engineers within the enterprise data governance process to define and conceptualize data models across enterprise master data, transaction data, and informational data and implement those models into the enterprise data model.
• Making tactical architecture decisions to support immediate projects but will be a key expert informing long term data architecture strategy:
• Design, implement and demonstrate solutions that exhibits the highest levels of performance, security, scalability, maintainability, repeatability, appropriate reusability and reliability to the End-Customer.
• Act as tech lead for a team, leading design and architecture of a feature or product, mentoring and guiding the engineering team, performing code reviews for critical features, when necessary, not afraid of jumping in to help with specific programming challenges

Qualifications/Requirements

What you will bring:

• 6+ years of experience with Data Lake Infrastructure, Data Warehousing, Data Modelling and Data Analytics tools by working with agile methodology:
• 6+ years of experience developing enterprise data models.
• 4+ years in cloud data engineering experience in at least one cloud (Azure, AWS, GCP).
• Experience in at least one data modeling tool (ER/Studio, Erwin).
• Experience with integration of multi cloud services with on-premises technologies.
• Experience with at least one MPP database technology such as Redshift, Synapse or SnowFlake.
• Excellent communication skills, both verbal and written, along with the strong ability to influence senior level management and stakeholders.
• Proven track record of leading, mentoring, hiring and scaling data teams.
• Strong change manager: comfortable with change, especially that which arises through company growth.
• 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.

What makes us different?

• Global projects & Diverse team
• Hybrid remote work & Work-Life balance
• Entrepreneurial environment in leading international company
• Professional growth possibilities
• Sponsorship & relocation support to Spain if applicable