Hybrid
Full Time Posted 30 days ago
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Job Type

Full Time

Job Details

Job Description

Overview

Location: Must be located within 90 miles of Plano TX, Purchase NY, or Chicago IL. This is a Hybrid Position: Targeting 3 days in office per week

Data & Analytics at Pepsico:

PepsiCo operates in an environment undergoing immense and rapid change.  Big-data and digital technologies are driving business transformation that is unlocking new capabilities and business innovations in areas like eCommerce, mobile experiences and IoT.  The key to winning in these areas is being able to leverage enterprise data foundations built on PepsiCo’s global business scale to enable business insights, advanced analytics and new product development.  

PepsiCo’s Enterprise Data Operations (EDO) team is tasked with the responsibility of developing quality data collection processes, maintaining the integrity of our data foundations, and enabling business leaders and data scientists across the company to have rapid access to the data they need for decision-making and innovation.

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
Responsibilities

As a Senior 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. This role will lead a group of Senior Engineers working on Customer domain data.

  • Assess and recommend architecture frameworks, design and implement high-performance solutions to support data and analytical products.
  • 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.
  • Execute on a technical solution with minimal guidance, creating solution prototypes, providing top quality design, and create documentation for support and understanding of code created for each initiative
  • 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.
  • Strong technical background in data science, business intelligence or data engineering and ETL best practices.
  • Define and manage SLA’s for data products and processes running in production.
  • Continue to improve code quality by tracking, reducing, and avoiding technical debt
  • Work collaboratively with product managers, senior scientists, engineers, and other team members in an agile and scrum environment to fulfill modeling needs.
  • Work closely with source data application teams and product owners to design, implement and support analytics solutions that provide insights to make better decisions
  • Create documentation for learnings and knowledge transfer.
  • Create and audit reusable packages or libraries.
  • Implement Azure products and services, including Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc., as well as conventional data warehouse tools, to create data migration and data engineering solutions.

Qualifications

Qualifications

  • 10+ years of overall technology experience that includes at least 8+ years of hands-on software development, data engineering, and systems architecture.
  • 8+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools.
  • 8+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.).
  • 5+ years in cloud data engineering experience in at least one cloud (Azure, AWS, GCP).
  • Fluent with Azure cloud services. Azure Certification is a plus.
  • Experience scaling and managing a team of 5+ engineers.
  • Experience with integration of multi cloud services with on-premises technologies.
  • Experience with data modeling, data warehousing, and building high-volume ETL/ELT pipelines.
  • Experience with data quality and data profiling tools like Apache Griffin, Deequ, and Great Expectations.
  • Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
  • Experience with at least one MPP database technology such as Redshift, Synapse or SnowFlake.
  • Experience with running and scaling applications on the cloud infrastructure and containerized services like Kubernetes.
  • Experience with version control systems like Github and deployment & CI tools.
  • Experience with Azure Data Factory, Databricks and Mlflow is a plus.
  • Experience with Statistical/ML techniques is a plus.
  • Experience with building solutions in the retail or in the supply chain space is a plus
  • Understanding of metadata management, data lineage, and data glossaries is a plus.
  • Working knowledge of agile development, including DevOps and DataOps concepts.
  • Familiarity with business intelligence tools (such as PowerBI).
  • BA/BS in Computer Science, Math, Physics, or other technical fields.
  • Preferably some experience in the CPG Industry

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.
  • Understands both the engineering and business side of the Data Products released. 
  • Teams up and collaborates for speed, agility, and innovation. 
  • Strong negotiation and decision-making skill. 
  • Experience managing and working with globally distributed teams.

Compensation and Benefits:

  • The expected compensation range for this position is between $125,000 $190,600 based on a full-time schedule
  • Location, confirmed job-related skills and experience will be considered in setting actual starting salary
  • Bonus based on performance and eligibility; target payout is 15% of annual salary paid out Annually.
  • Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement
  • In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

EEO Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. 

PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity 

If you'd like more information about your EEO rights as an applicant under the law, please download the availableEEO is the Law&EEO is the Law Supplementdocuments. ViewPepsiCo EEO Policy

Please view ourPay Transparency Statement 

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