Job Description

About Albertsons Companies India
Albertsons Companies is a leading food and drug retailer in the United States. As of February 22, 2025, the Company operated 2,270 retail stores with 1,728 in-store pharmacies, 405 associated fuel centers, 22 dedicated distribution centers and 19 manufacturing facilities. Albertsons Companies India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company & technology journey to support millions of customers & lives every day.

Position Title: Engineering Manager
The Data Engineering team at Albertsons Companies is looking for an experienced Data Engineering Leader to work for the most transformational food and drug retailers in the United States. Albertsons operates over 2,300 stores under 19 well-known banners including Albertsons, Safeway, Vons, Jewel-Osco, Shaw's, Acme, Tom Thumb, Randalls, United Supermarkets, Pavilions, Star Market, Haggen and Carrs. The company reported revenue of over $60billion from over 34 million weekly shoppers and is the third largest private company in the country.
Position Purpose:
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 about 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 scientists 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 lifecycles.
You will enjoy working with one of the richest data sets in the world, cutting edge technology, and the ability to see your insights turn into business impacts on a regular basis. You'll lead a team a of data engineers and partners with business in identifying, prioritizing and enabling the data needs while ensuring cutting edge practices and platform capabilities continue to mature. The candidate will have a background in computer science or a related technical field with experience 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.
Key Responsibilities include, but are not limited to:

• 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 has 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

• 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
• Advanced proficiency in SQL (BigQuery experience is highly preferred; mandatory for lead and manager roles).
• Experience with Python (or another scripting language) and automation.
• Hands-on expertise with GCP services: BigQuery, GCS, Dataflow, and Cloud Composer (mandatory for lead and manager roles).
• Strong understanding of data modeling, ETL processes, and data warehousing concepts.
• Experience with streaming systems such as Kafka.
• Familiarity with version control systems like Git.
• Proven experience working in Agile environments.

• Experience with Power BI (preferred that at least one team member has Power BI experience) or ThoughtSpot for data visualization and analytics.
• Exposure to other cloud platforms, especially Microsoft Azure.
• Awareness of Snowflake, Oracle, and DB2.
• Expertise in AI, preferably in the context of data engineering.
• Experience with Stonebranch for job scheduling.
• Knowledge of CI/CD pipelines and DevOps practices.