Data Engineering Manager

Employment Type

: Full-Time


: Miscellaneous

Data Engineering Manager Data Engineering Manager Albertsons Companies About the company Albertsons Companies is at the forefront of the revolution in retail. With a fixation on innovation and building culture, our team is rallying our company around a unique vision: forging a retail winner that is admired for national strength, deep roots in the communities we serve, and a team that has passion for food and delivering great service. Albertsons is one of the largest retail employers, providing approximately 300,000 jobs across 2,200 stores, 22 distribution centers, 20 food and beverage plants and various support offices. We operate in 34 states and the District of Columbia under the Albertsons banner, as well as Safeway, Tom Thumb, Jewel Osco, Shaw's and many more recognizable names. What you will be doing Data Engineering at Albertsons is inspired to build best in class customer experience and revolutionize the food and drug retail industry. We are looking for people who are excited in re-imagining the grocery experience by harnessing the power of AI and digital technologies. The Data Engineering team uses the Big Data paradigm to make data available for data scientist and multitude of other business users to draw insights to delight our customers, to improve store operations, to optimize supply chain and to proactively improve product lifecycle. You will enjoy working with one of the richest data sets in the world, cutting edge technology, and the ability to see your insights turned into business impacts on regular basis. You'll lead a team a of data engineers and partner with business in identifying, prioritizing and enabling the data needs while ensuring cutting edge practices and platform capabilities continue to mature. The position will be based in Pleasanton, CA. Main responsibilities * Build and lead a high-performing data engineering team in a hands-on technical capacity. Inspire and deliver data engineering innovations that fuel the growth of business; coach team members and grow the skill sets. * Spearhead the initiative to build out a Customer 360 capability encompassing all facets of a customer touch point be it payments, in-store and on-line behaviors shopping preference and others. Will be responsible to provide the ability to generate meaningful insights from data in a fast, friendly, and exciting way and support product manager(s)/product owner(s) to draw analytical insights and drive the product vision. * Provide technical leadership in data engineering practices. Partner with architecture, Infosec, data scientists and business leaders to establish a strong relationship and trust for prioritizing and delivering projects on time and with a high degree of quality. * Establish patterns for re-use, standards and best practices for devops such that problem resolution have minimum latency and incidents are at a minimum * Partner with the Audit, Compliance and Governance leaders to ensure data is secured and confirms to the guidelines laid out by the organization and the industry. * Partner with cross-functional teams to deliver large scale strategic projects as well as ongoing operational activities. Interface with cross functional leaders and represent point of views to drive measurable success. * Drive meetings and lead discussions. Prioritize projects across the team and allocate resources to meet business and team goals. What we are searching for The candidate will have a background in computer science or a related technical field with experiences working with large data sets and a passion towards enabling data-driven decision making. A successful candidate will be both technically strong and business savvy, with a passion to make an impact through creative storytelling and timely actions. You are a self-starter, smart yet humble, with a bias for action. We believe the successful candidate has these qualifications and experience: * Bachelors in Computer Science with 4+ years management experience in building and leading data engineering teams * Track record of guiding teams through unstructured technical problems to deliver business impact. Ability to partner and translate high-level business objectives into actions * Skilled at running cross-functional relationships and communicating with leadership across multiple organizations * 7+ years of industry experience in delivering data engineering solutions: Ingestion, Curation, Modeling, Persistence, Computation and Delivery. * 5+ years of hands-on experience in building data engineering solutions and production-ready systems on big data platforms such as Snowflake, Spark, Hadoop * Fully responsible for and has driven key programs like MDM, Customer 360, Product 360 and others from inception to delivery * Strong understanding of AdTech platform, performance media and data monetization * Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different audiences * Experience with Snowflakes, Azure Databricks, Graph QL and Graph databases is a plus What it is like at Albertsons? Albertsons Culture Principles Compassion: We always treat each other with kindness and respect Team: We always support and recognize each other Inclusive: We always value everyone's perspective Learning: We always strive to grow and develop ourselves and others Competitive: We always act with integrity to win over the customer Ownership: We always take actions to drive our success

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