Data Engineering Manager

  • Plano, TX
  • Posted 4 days ago | Updated 3 hours ago

Overview

On Site
USD 106,400.00 - 178,100.00 per year
Full Time

Skills

Data Engineering
FOCUS
Data Processing
Documentation
Software Design
Scalability
Budget
Enterprise Architecture
Management
Collaboration
Partnership
Quality Assurance
Policies and Procedures
IT Service Management
Accountability
Insurance
Legal
Computer Science
Management Information Systems
Business Management
Information Technology
Business Relationship Management
Data Lake
Project Management
Business Intelligence
Analytics
Sustainability
Python
Scala
SQL
Databricks
Microsoft Azure
Data Warehouse
Dimensional Modeling
Big Data
Apache Kafka
Apache Spark
Streaming
Reporting
LOS
Recruiting
Law

Job Details

Overview

Primary focus would be to design and implement data processing pipelines using Databricks, Spark, Python, and other tools and languages prevalent in the Azure ecosystem ensuring high quality solutions through code reviews, engineering best practices documentation. You will be given the opportunity to own the design/implementation of projects. You will collaborate with product managers, solution architects, engineers, and data scientists to accomplish your tasks.

Responsibilities

  • Lead delivery of key Azure Data Lake projects within time and budget
  • Drive solution design and build to ensure scalability, performance and reuse of data and other components
  • Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards.
  • Oversee coordination and partnerships with Business Relationship Managers, Architecture and IT services teams to develop and maintain data lake best practices and standards along with appropriate quality assurance policies and procedures
  • May lead a team of employee and contract resources to meet build requirements:
    • Set priorities for the team to ensure task completion
    • Coordinate work activities with other IT services and business teams.
    • Hold team accountable for milestone deliverables

Compensation and Benefits:
  • The expected compensation range for this position is between $106,400 - $178,100
  • Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process
  • Bonus based on performance and eligibility target payout is 12% 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

Qualifications

  • Bachelors or Masters degree in Computer Science, MIS, Business Management, or related field
  • 14 + years of experience in Information Technology or Business Relationship Management
  • 8 + years of experience in Data Warehouse/Azure Data Lake; 2+ years of big data experience
  • Minimum 4 years of experience as project lead

Technical Skills:
  • Solutions Delivery experience in Data, BI or Analytics projects - expertise in system development lifecycle, integration, and sustainability
  • Strong programming experience, Python/Scala/SQL
  • Experience working with Big Data processing frameworks within Azure (BLOB/ADLS, Databricks/Spark, Azure Data Factory, etc.)
  • Experience working with Data Warehousing platforms and projects (experience with star schemas, slowing changing dimensions, etc.)
  • Experience working with Big Data streaming services and tools such as Kafka, Spark Streaming, etc.

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Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance.

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 available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy.

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