Lead Data Engineer - Enterprise Data
Posted on: September 24, 2022
Lead Data Engineer JC0931
Macy's is proudly America's Department Store. For more than 160
years, Macy's has served generations at every stage of their lives.
Customers come to us for fashion, value and celebration. Now is an
exciting time to join Macy's, Inc. The face of retail is changing,
and change requires innovation.
Macy's, Inc is building an Enterprise Data & Analytics team to
further grow our capabilities in support of our mission to be a
data-led, customer-centric company. This team will focus on
accelerating impact from analytics, coordinating an enterprise-wide
roadmap, and ensuring proper data governance and management. This
team will lead the charge to execute on our vision to build
profitable lifetime customer relationships by embedding data &
analytics at the heart of everything we do.
The Lead Data Engineer will develop, test and maintain
architecture, including databases and processing systems, to
support a robust analytical pipeline that facilitates priority
analytics use cases. The Lead Data Engineer will ensure these data
processing capabilities meet business requirements, use case and
user needs while providing reliable, efficient and quality
Adhere to processes to ensure data pulled from various sources
meets quality standards, is curated and enhanced for analytical use
and there is a "single source of truth"
Work with counterparts from Tech to build frameworks that integrate
data pipelines and machine learning models that facilitate use by
data scientists for priority use cases; Enterprise Data and
Analytics team focused on "last mile" transformations on select
data required for use cases
Maintain database structure and standard definitions for business
users across Macy's
Work with data architects to build the foundational extract / load
/ transform process and regularly review the architecture and
recommend effectiveness improvements
Collaborate with Technology to future-proof data & analytics
software, tools and code to reduce risk and support pipeline
Work with Legal and Privacy teams to adhere to data privacy and
Work with Data Architect to implement the data models, standards
and quality rules
Work with the Data Science team to understand data formatting and
sourcing needs to enable them to build out use cases as efficiently
Community builder to foster data and analytics culture and to
support data-driven thinking and discussions across priority
analytics use case
Be entrepreneurial, agile, and results-oriented
Embody data-driven culture at Macy's
Bolster awareness, knowledge and conviction around data-driven
practices and behaviors, increasing digital IQ of Business
Proactively raise data issues and take action to remediate support
business users in identifying the correct data sets and providing
easy to use tools to pull data
Key Performance Indicators
Quantity, type, and quality of databases and pipelines, in
partnership with Technology
Compliance with relevant laws and regulations , in partnership with
Automation of data cleansing and harmonization processes in
Qualifications and Competencies
Bachelor's degree in Computer Science (or related technical
At least 8 years of overall experience in building ETL/ELT, data
warehousing and big data solutions.
At least 5 years of experience in building data models and data
pipelines to process different types of large datasets.
At least 3 years of experience with Python, Spark, Hive, Hadoop,
Proven expertise in relational and dimensional data modeling.
Understand PII standards, processes, and security protocols.
Experience in building data warehouse using Cloud Technologies such
as AWS or GCP Services, and Cloud Data Warehouse preferably Google
Able to confidently express the benefits and constraints of
technology solutions to technology partners, stakeholders, team
members, and senior levels of management.
Experience implementing and supporting operational data stores,
data warehouses, data marts, and data integration applications.
In depth knowledge in Big Data solutions and Hadoop ecosystem.
Ability to effectively share technical information, communicate
technical issues and solutions to all levels of business.
Able to juggle multiple projects - can identify primary and
secondary objectives, prioritize time and communicate timeline to
Passionate about designing and developing elegant ETL/ELT pipelines
Ability and desire to take product/project ownership.
Ability to think creatively, strategically and technically.
Ability to work a flexible schedule based on department and Company
Cloud Architect (AWS or GCP or Azure) Certification is a
Keywords: Macy's, Roswell , Lead Data Engineer - Enterprise Data, Engineering , Duluth, Georgia
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