Senior Manager Data Engineering Integration

Key Skills

Java Programming, Python Programming, SQL, XML-JSON, Azure, PowerBI, Apache Hadoop, Apache Kafka, Scala Programming, Google BigQuery, Apache Hive, Snowflake, Amazon RedShift, HBase, Databricks, Synapse, Avro

Job Description

Albertsons Companies is one of the largest food and drug retailers with 2,300+ stores. The Albertsons Companies family of brands includes some of the most prominent brands in food retailing, with a growing base of loyal shoppers. Thanks to the professionalism, diversity, spirit, and friendliness of our people, we have locations across the U.S.

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.

The Technology Department has an opening for a Senior Manager Data Engineering Integration. This position is located in Phoenix, Arizona.

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 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 financial data 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 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.

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.
• Ability to influence across different groups and levels in the organization.
• Partner & collaborate with business & IT stake stakeholders to define the roadmap.
• 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 DataOps 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.
• Drive meetings and lead discussions. Prioritize projects across the team and allocate resources to meet business and team goals.

Qualifications:

• Bachelor's in Computer Science with 7+ 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 translate high-level business objectives into actions.
• Skilled at running cross-functional relationships and communicating with leadership across multiple organizations.
• Experience in handling complex data problems, with extensive experience in designing and building dimensional data models.
• Proficient in Cloud Date Warehouses like SnowFlake/Azure Synapse/Big Query/RedShift.
• Proficient in Data Architecture, Data Integration, Data Quality, Data Governance and Data Lineage.
• 5+ years of industry experience in building & delivering highly performant data engineering solutions: Ingestion, Curation, Modeling, Persistence, Computation and Delivery.
• 5+ years of experience and proficiency in Python, SQL
• Experience with Kafka, Spark, Hadoop, Hive, HBase, PowerBI is required.
• Proficient in writing & optimizing advanced SQL's.
• Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different audiences.

About us

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 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

Physical Environment:

• Work may be performed in a temperature-controlled environment.
• Must sit, stand, or walk for extended periods of time.
• May spend long periods of time at desk or computer terminal.
• Will use keyboards, telephone, and other office equipment during the course of normal workday.
• Stooping, bending, twisting, and reaching may be required in completion of job duties.
• Work day is fast paced; some evening and weekend work may be required.