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Senior Database Architect
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About Our Organization
Dow Jones is a global provider of news and business information, delivering content to consumers and organizations around the world across multiple formats, including print, digital, mobile, and live events. Our commitment to reliability is reinforced by personalized customer service and constant innovation.
About the Team
OPIS, a Dow Jones company, provides price transparency across the global fuel supply chain, including the Spot, Wholesale Rack, and Retail markets. Our team enables customers to buy and sell energy commodities with confidence with multi-platform access to accurate data, real-time news, powerful software, and educational events.
About the Role
We are looking for a Lead Data Engineer that will design, develop, and maintain database architecture and code initiatives supporting internal and third-party software solutions, delivering excellent products in scope and on time, and meeting current and long-term business needs for the business area. Participate in an agile team of motivated, driven, high-energy engineers, building trust and confidence with team members and business stakeholders. Lead, mentor, and coach junior data engineers to build stronger and faster teams.
Your Responsibilities
Work with our product teams to provide timely, effective, and performant solutions. Contribute to the design of scalable data solutions, including the development of automated pipelines. Implement and/or maintain database systems to ensure the availability and consistent performance of our application suite. Understand and define business data requirements and identify data needs and data sources to create scalable data architecture and support enhancements, new product, and implementation. Coach, mentor, and train team members driving both employee and team development and growth.
Your Expertise
Bachelor's Degree in Computer Science, related technical field, or equivalent experience. Minimum 4 years of database developer/engineering experience (SQL Server, PostgreSQL preferred). Ability to create and understand data models. Ability to create and maintain stored procedures, views, functions. Ability to write advanced SQL code; queries and statements to explore source data and data issues. Working knowledge of cloud data technologies and architecture.
