Senior Manager - Data Engineering

Lead and manage agile teams of Data Engineer, Data Analyst, Architect, Data Engineering Manager, etc. to build, deliver, and support strategic initiatives at scale. Responsible for engineering of Inspires enterprise data platforms, enabling value-driven business use cases and deep analytics.

RESPONSIBILITIES:

• Attract, mentor, guide, coach team members or direct reports.
• Manage multiple development teams leading technical execution and delivery of new initiatives.
• Ensure technical solutions are in line with company standards with respect to architecture, security, compliance, testing and product direction.
• Implement industry best practices and tools to continually improve teams' ability to deliver and maintain solutions.

EDUCATION QUALIFICATIONS:

• Bachelor's degree in computer science, data science, information science or related field, or equivalent work required.
• Graduate degree in computer science, data science, information science or related field, or equivalent work preferred.

EXPERIENCE QUALIFICATION:

• 15+ years' experience building and supporting large scale and highly available technology solutions and directly managing or leading a team(s) of data engineers and developers.
• Experience in retail, restaurant, and/or eCommerce industry preferred.
• Working within an Agile development environment preferred.

REQUIRED KNOWLEDGE, SKILLS or ABILITIES:

• Able to manage development team to deliverables: on time, scope and on budget.
• Experience working with distributed teams.
• Experience working with onshore and offshore team as well as with external vendor teams.
• Able to present complex technical concepts to business partners and senior management.
• Possess sound knowledge in implementation of Gen AI/Agentic based solutions using technologies such as Azure Foundry, MCP Servers, GitHub Copilot, LLMs including OpenAI, Anthropic, etc.
• Experience leading teams with deep technical experience with enterprise development (e.g., Python, SQL) and technology platforms (e.g., Databricks, Spark, Snowflake, Azure).
• Experience with establishing SDLC and Data Engineering best practices.
• Experience with leading fine tuning, scaling, monitoring and alerting initiatives.
• Deep understanding of creating and integrating REST-based web services.
• Proficiency with source control and release technologies (e.g., Azure DevOps) and practices (e.g., CI/CD and automation).
• Good soft skills with ability to work with business partners to understand the requirements, demonstrate solutions to business partners, gain commitment from business partners on their engagement/deliverables.
• Cross-Functional internal team exposure has worked previously with Product, Design, QA and Delivery leads.
• Can help onboard and provide support to developers as they learn in their careers.
• Experience leading Agile/Scrum development teams.

Equal Employment Opportunity Policy

EEO-1 Statement

It is the policy of Inspire Brands Inc. (IRB or the Company) to treat all employees and applicants for employment fairly and to provide equal employment opportunities without regard to race, color, sex, religion, national original or ancestry, ethnicity, sexual orientation, gender identity, age, disability, genetic information, citizenship, military service or veteran status, marital status or any other characteristic protected under applicable federal, state, or local law. This policy applies to all employment practices including recruiting, hiring, placement, pay, promotions, transfers, training, leaves of absence, and termination. Inspire Brands, Inc. expressly prohibits any form of unlawful employment harassment based on race, color, sex, religion, national original or ancestry, ethnicity, sexual orientation, gender identity, age, disability, genetic information, citizenship, military service or veteran status, marital status or any other characteristic protected under applicable federal, state, or local law. Improper interference with the ability of IRBs employees to perform their expected job duties will not be tolerated.