Job Description:

Overview

#LI-Hybrid
#Locations: Barcelona, Spain; Vitoria-Gasteiz, Spain

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 Enterprise Data 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.

As a Data Modeling Specialist, your focus would be to partner with D&A Data Foundation team members to create data models for Global projects. This would include independently analyzing project data needs, identifying data storage and integration needs/issues, and driving opportunities for data model reuse, satisfying project requirements. The role will advocate Enterprise Architecture, Data Design, and D&A standards, and best practices. You will be a key technical expert performing all aspects of Data Modeling working closely with Data Governance, Data Engineering and Data Architects teams.
As a member of the data modeling team, you will create data models for very large and complex data applications in 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. The primary responsibilities of this role are to work with data product owners, data management owners, and data engineering teams to create physical and logical data models with an extensible philosophy to support future, unknown use cases with minimal rework. You'll be working in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems. You will establish data design patterns that will drive flexible, scalable, and efficient data models to maximize value and reuse.
Responsibilities

Key Accountabilities:

Independently complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies.
Governs data design/modeling – documentation of metadata (business definitions of entities and attributes) and constructions of database objects, for baseline and investment-funded projects, as assigned.
Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting.
Supports assigned project contractors (both on- & off-shore), orienting new contractors to standards, best practices, and tools.

Advocates existing Enterprise Data Design standards; assists in establishing and documenting new standards.

Contributes to project cost estimates, working with senior members of team to evaluate the size and complexity of the changes or new development.
Ensure physical and logical data models are designed with an extensible philosophy to support future, unknown use cases with minimal rework.
Develop a deep understanding of the business domain and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse.
Partner with IT, data engineering and other teams to ensure the enterprise data model incorporates key dimensions needed for the proper management: business and financial policies, security, local-market regulatory rules, consumer privacy by design principles (PII management) and all linked across fundamental identity foundations.
Drive collaborative reviews of design, code, data, security features implementation performed by data engineers to drive data product development.
Assist with data planning, sourcing, collection, profiling, and transformation.
Create Source To Target Mappings for ETL and BI developers.
Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; data streaming (consumption/production), data in-transit.
Develop reusable data models based on cloud-centric, code-first approaches to data management and cleansing.
Partner with the Data Governance team to standardize their classification of unstructured data into standard structures for data discovery and action by business customers and stakeholders.
Support data lineage and mapping of source system data to canonical data stores for research, analysis and productization.

Qualifications

Qualifications:

8+ years of overall technology experience that includes at least 6+ years of data modeling and systems architecture.
3+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools.
6+ years of experience developing enterprise data models.
Expertise in data modeling tools (ER/Studio, Erwin, IDM/ARDM models).
Experience with integration of multi cloud services (Azure) with on-premises technologies.
Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations.
Experience with at least one MPP database technology such as Redshift, Synapse, Teradata or SnowFlake.
Experience with version control systems like Github and deployment & CI tools.
Experience with building solutions in the retail or in the supply chain space is a plus
Experience of metadata management, data lineage, and data glossaries is a plus.
Working knowledge of agile development, including DevOps and DataOps concepts.
BA/BS in Computer Science, Math, Physics, or other technical fields.

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.
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.
Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment.
Strong organizational and interpersonal skills; comfortable managing trade-offs.
Proactively drives impact and engagement while bringing others along.
Consistently attain/exceed individual and team goals

Ability to work with virtual teams (remote work locations); lead team of technical resources (employees and contractors) based in multiple locations across geographies
Lead technical discussions, driving clarity of complex issues/requirements to build robust solutions

What makes us different?

Hybrid work model & 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 from over 25 countries
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 operate with start-up mindset – agile, innovative and not afraid of failure. We want our team to come to work every day excited to explore new ways 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. https://www.youtube.com/watch?v=PO5CdBmWjUY

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

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