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Sr Manager, Data Engineering - Corporate Services, Charlotte, North Carolina

Created10/13/2021
Reference2166141BR
CategoryTechnology
Job typeFull Time
CountryUnited States
StateNorth Carolina
CityCharlotte
Zip28201
Address201 S. College St
SalaryCompetitive
Job Summary:
The primary purpose of this role is to oversee the translation of business requirements and functional specifications into logical program designs, modules, and stable application systems. This position leads one or more teams of software engineers in the development, configuration and modification of integrated business and/or enterprise Data, BI or Platform engineering solutions. This includes responsibility for providing oversight in the implementation and maintenance of business and enterprise Data, BI or Platform engineering solutions to ensure successful deployment of released applications.

This individual leads one or more engineering teams delivering complex Data or BI engineering solutions for one or more business functional areas.

Key Responsibilities:
  • Partners with the product team to help inform the priorities within a set of products, applications, and/or services
  • Manages Data, BI or Platform engineering teams that design, build and maintain solutions within a set of technology products and/or services; oversees the translation of business requirements and functional specifications in logical program designs, modules, stable application systems, and data solutions
  • Ensures the alignment, buy-in, and support of diverse stakeholders by building and maintaining trusting relationships with internal customers, third party vendors, and senior management
  • Resolves escalated issues throughout the development, configuration, and modification of integrated business and/or enterprise application solutions
  • Creates and/or leads the creation of SOPs, KPIs, and overall operationalization of assigned services or applications
  • Hires, trains, and develops talent for growth opportunities; monitors team/individual's morale and engagement to maintain highly effective and collaborative environments
  • Controls project risks by analyzing and identifying trigger events, establishing response and contingency plans and recommending ways to mitigate future risks
  • Manages the completion of systems integration testing (SIT) and responsible for ensuring that user acceptance testing (UAT) is completed successfully
  • Provides input for departmental budget and forecasting, and manages expenses associated with initiatives within scope of responsibility
  • Responsible for the development, implementation, maintenance, support and scalability of robust, reliable and secure business and enterprise Data, BI or Platform solutions
  • Partners with engineers and architects to ensure optimal technology solutions are built by the engineering team
  • Ensures the alignment, buy-in, and support of diverse project stakeholders by building and maintaining trusting relationships with internal customers
  • Influences and establishes best in class engineering practices through solid design decisions and tools
  • Coordinates the estimation and execution of plans, schedules, and resource forecasts for the services or applications in his/her scope
  • Manages multiple services or applications and provides resources in support of the applications by leveraging partnerships with technology teams, vendors, and business leaders
  • Leads team through all technology solution development phases by ensuring team understands and adheres to company methodology, policies, standards, and controls
  • Provides leadership to the team by attracting and hiring talented individuals, setting goals and communicating clear expectations, providing timely and constructive feedback as well as meaningful developmental opportunities, managing performance, providing resources and support as needed, and sponsoring and leading team members through change


Data Engineering Responsibilities
  • Works with the data engineering team to ensure all business data is represented in data lake both in on-prem and cloud environment; Nurtures an overall design and architecture and ensures processes are adhered to; Coordinates with one or more business analytic teams to ensure the data ingestion and curation pipelines are built ahead of analytic needs and ensures the data quality and business expectations are met; Manages stakeholders, scope and timelines for successful delivery
  • Works with the data engineering team to develop data curation pipelines that meets functional and non-functional requirements
  • Coordinates with Data Science team to ensure that the data features and model requirements are acceptable


Minimum Qualifications:
  • Bachelor's Degree in Business Administration, Computer Science, CIS, Engineering, or related field
  • 8 years of experience in Data, BI or Platform Engineering, Data Warehousing/ETL, Administration or Software Engineering
  • 3 years of experience in managing projects, people and stakeholders
  • 3 years of experience leading project or technical teams with or without formal direct report responsibility; this includes experience providing technical direction, thought leadership, coaching and mentoring to team members


Preferred Qualifications:
  • Master's Degree in Business Administration, Computer Science, CIS, Engineering, or related field
  • 2 years of leadership experience with direct report responsibility
  • 2 years managing operational and/or project financial budgets
  • IT consulting experience
  • Experience in IT Management in the retail industry
  • 3 years of experience in software development in an agile environment
  • Experience working with 3rd party vendors and/or software solution providers
  • Experience working in an IT Infrastructure Library (ITIL) framework


Data Engineering
  • 5 years of experience in Hadoop or any Cloud Bigdata components (specific to the Data Engineering role)
  • Expertise in Java/Scala/Python, SQL, Scripting, Teradata, Hadoop (Sqoop, Hive, Pig, Map Reduce), Spark (Spark Streaming, MLib), Kafka or equivalent Cloud Bigdata components (specific to the Data Engineering role)


Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religion, sex, age, national origin, disability, sexual orientation, gender identity or expression, marital status, veteran status, genetics or any other category protected under applicable law.

Lowe's is an equal opportunity affirmative action employer and administers all personnel practices without regard to race, color, religion, sex, age, national origin, disability, sexual orientation, gender identity or expression, marital status, veteran status, genetics or any other category protected under applicable law.
EmployerLowe's