H-E-B Digital is seeking new team members (Partners)! Since our inception, we've been investing heavily in our customers' digital experience, reinventing how they find inspiration from food, how they make food decisions, and how they ultimately get food into their homes. This is an exciting time to join H-E-B Digital, and we're hiring across the stack: front-end web and mobile, full-stack, and backend engineering. We're using the best available technologies to deliver modern, engaging, reliable, and scalable experiences to meet the needs of our growing audience. Our digital solutions are growing in popularity and adoption--like Curbside and Home Delivery--so you'll get the opportunity to define the user experience for millions of customers and hundreds of thousands of Partners. If you're someone who enjoys taking on new challenges, working in a rapidly changing environment, learning new skills, and applying it all to solve large and impactful business problems, we want you as part of our team.
As a Manager of Data Solutions, Customer Identity Resolution, you'll raise up your team (6 Data Engineers), helping develop individual careers and achieving goals, spotting and addressing common team problems, and coaching and mentoring those identified for potential company leadership. You'll work closely with stakeholders from product and design, and other engineering leaders, to provide high-quality, repeatable technology delivery for the digital engineering organization. You'll provide leadership across all aspects of development to maintain a high bar for technology, people, and process.
Our Partners thrive The H-E-B Way. As a Manager of Data Solutions, you have a...
HEART FOR PEOPLE... you have a passion for mentorship and guidance, and love for the direct person-to-person interactions that create strong bonds between teams
HEAD FOR BUSINESS... you have an ownership mentality and a consistent track record of timely delivery of high-quality software
PASSION FOR RESULTS... the ability to guide the discussion, remove roadblocks, and provide guardrails for your team as they identify challenges and propose solutions
What You'll Do
Directly supervise individual contributors or other Managers
Coach / mentor others in engineering techniques, processes, and new technologies; enable others to succeed; empower team members to be autonomous, fast, and effective
Manage all HR responsibilities for your team, including pay planning, promotions, expenses, and leave
Understand / foster the value of radical candor when having 1:1 conversation
Lead large initiatives within the team, including technical design / delivery of complex features across multiple systems as H-E-B improves the customer and Partner user experiences
Help grow Digital Engineering by driving execution of organization-wide activities
Develop technical roadmaps and lead engineers across one or more squads to deliver initiatives; apply your understanding of fundamentals of the business to ensure technical roadmap aligns with business opportunities
Recommend improvements to overall application system design, architecture, security, scalability, reliability, and performance
Identify ways to improve codebases, solutions to complex problems; effectively propose paths forward to drive outcomes
Recommend changes to processes and tools at the group / dept level based on industry standards, patterns, and practices
Diagnose / troubleshoot extremely complex issues
Create documentation and training related to technology stacks and standards
Jump down to IC-level duties, when needed, to provide guidance on code reviews or pull requests
Who You Are
Bachelor's degree in computer science, engineering, or another technical field, or equivalent work experience in a related technical field
4+ years as an experienced Data Engineer with a focus in the customer data or customer identity resolution space, or related role and have successful leadership (of small teams of 4-8) experience
Expert knowledge of Python/PySpark
Experience with API development is a strong plus!
Must have experience in the cloud space (AWS, Azure or GCP).
Deep knowledge of end-to-end data technologies, including relational data stores, distributed systems, cloud-based data services, and ETL architectures and tools
Experience working with large data sets (terabytes and larger) with high velocity in a complex data ecosystem with strict demands on data reliability and availability
Expert understanding of data development methodologies and processes
Understand cross-tech stacks and scalability and reliability implications
Technical competence equivalent to the expectations of a Senior Engineer
Skills in multiple languages, technologies, and frameworks and can quickly on-board to projects in minimal time
Capable of learning new technologies, processes, and gaining business knowledge quickly
Approach problem-solving holistically and consider solutions through a combination of technology and processes
Can coordinate work for a group of engineers on major initiatives
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