Online Lead Data Architect

The Home Depot • Atlanta, GA

26d

About The Position

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: Online Data Architect teams at The Home Depot coordinate with key stakeholders to determine data collection needs and write technical specs to support the translation of business requirements into databases, data warehouses, and data streams. They work closely with engineers to ensure the internal customer’s data needs are captured. They analyze, plan, and define data architecture framework, including security, reference data, metadata, and master data. Data Architects create and implement data management processes and procedures to ensure accuracy and accessibility.

Requirements

• Must be 18 years of age or older.
• Must be legally permitted to work in the United States.
• Demonstrate 3 or more of the following: Knowledge on database architecture frameworks Procedures for increasing database accuracy and accessibility How to develop requirements for the business's data needs related to databases, data warehouses, and data streams Knowledge of the business to support stakeholder data needs

Nice To Haves

• Masters in a quantitative field (Analytics, Computer Science, Math, Physics, Statistics, Management, etc.) or relevant work experience
• Experience writing specs and requirements and configure Adobe Analytics for site tagging
• Proficient with data tools such as GCP Big Query, Mini Tab, Workfront, or SQL
• Knowledge of how to support the infrastructure for clickstream data (social media impression data on the marketing side), so teams can pull for data products and insights
• Experience translating a request into the capturing needs, criteria involved, and variables involved

Responsibilities

• Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Partner with Other Orgs to understand potential for new tools and ways to maintain technical agility for advanced analytics.
• Project Management & Team Support - Lead and manage large and complex projects and teams; Provide direction on prioritization of work and ensure quality of work; Collaborate with managers and team in the distribution of workload and resources; Serve as a technical subject matter expert (SME) on both predictive and prescriptive analytics; Drive effective Agile project delivery protocols to assure we gather and surface reliable, actionable enterprise level analytics ; Ensure the team comprehends and applies the established processes and standards and mentor team on development.
• Solution Development - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation; Develops solutions to transform data into useful, actionable information.
• Technical Exploration & Development - Guide and direct project teams in the requirements gathering, design, and development of complex applications/programs; Provide technical education on advanced analytics to analytics community; Drive analytics teams to get matured in predictive and prescriptive analytics.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level