Data Engineering Senior Manager

Overview

Location : Role is Hybrid with expectation of 2-3 days in office. Must live 90 miles from Plano, TX.

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 Enterprise Data Warehouse and 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 EDW and 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 $135,000 - $227,500.
• Location, confirmed job-related skills and experience 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 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.

Qualifications

• Bachelors or Masters degree in Computer Science, MIS, Business Management, or related field required
• 16+ years of experience in Information Technology or Business Relationship Management
• 10 + years of experience in Data Warehouse / Azure Data Lake ; 2+ years of big data experience
• Minimum 6 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.
• Thorough knowledge of data warehousing and data lake concepts

Non-Technical Skills

• Excellent remote collaboration skills
• Experience working in a matrix organization with diverse priorities
• Experience dealing with and managing multiple vendors
• Exceptional written and verbal communication skills along with collaboration and listening skills
• Ability to work with agile delivery methodologies
• Ability to ideate requirements & design iteratively with business partners without formal requirements documentation
• Ability to budget resources and funding to meet project deliverables
• Excellent problem-solving and interpersonal skills

Differentiating Competencies

• Strong communication skills to meet with delivery teams and business-facing teams, understand sometimes ambiguous, needs, and translate to clear, aligned requirements
• Strong desire to learn and share knowledge with others
• Desire to work collaboratively with your teammates to come up with the best solution to a problem
• Ability to work with virtual teams (remote work locations); lead team of technical resources (employees and contractors) based in multiple global locations
• Demonstrated experience and ability to deliver results on multiple projects in a fast-paced, agile environment
• Lead technical discussions, driving clarity of complex issues / requirements to build robust solutions

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

Please view our Pay Transparency Statement