Distinguished Engineer - Enterprise Data (Fully Remote)
United States
Prestige Development Group – Prestige Development Group /
Full-Time /
Hybrid
Job Title: Distinguished Engineer - Enterprise Data
Location: Remote in United States
About:
We are a fast-growing digital consultancy focused on banking, payments, and fintech powered by a global network that attracts the best and brightest people from all backgrounds and cultures, driven by innovation and experimentation, spread across almost every single continent. Over the past decade, we've shipped over 150 products for clients that include Visa, American Express, Capital One, WEX, Wells Fargo, Ernst & Young, and TOMS Shoes. Our founders built a previous agency (Monsoon) that was acquired by Capital One in 2015. We are seeking talented Software & Data Engineers who are passionate about leveraging data with emerging technologies. Join us at the forefront of building a modern enterprise data platform that drives over $60 billion in annual transaction volume, serving more than 100 million active payment cards for one of the largest credit card issuers globally.
Role Overview: As a Distinguished Engineer - Enterprise Data, you will play a pivotal role in architecting and implementing our modern enterprise data platform. Leveraging your expertise in DataBricks, Snowflake, and other data warehouse and data lake technologies, you will lead the migration process, design network diagrams, and engage in hands-on coding to ensure the success of our data initiatives. Your proficiency in Lakehouse architecture, including hands-on experience with Apache Spark, Python, and SQL, will be instrumental in driving innovation and efficiency.
Basic Qualifications:
5+ years of experience working with DataBricks, Snowflake, or other data warehouse and data lake products and technologies.
Experience in migrating data warehouses, including architecture, managing the migration, creating network diagrams, and hands-on coding.
Demonstrated competence in Lakehouse architecture, with hands-on experience in Apache Spark, Python, and SQL.
Nice-to-Haves (Qualifications):
Certification and/or demonstrated competence in major cloud platforms (AWS, GCP, Azure) and Big Data technologies (e.g., Hadoop).
If you're excited about shaping the future of data technology and thrive in a dynamic, collaborative environment, we want to hear from you. Join us as we revolutionize the way data powers our business and drives innovation in the financial industry.
