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Senior Data Architect, Tags: data architect, retail, data modeling, ETL, mapreduce, startup
Category: Engineering Location: San Francisco, CA (downtown) Job ID: 2711 Job Description
Engage3, Inc. is bringing a revolutionary solution for the retail marketplace that will forever change the way people shop both online and offline. Our consumer facing solution will help shoppers save money, time and improve the quality of their lives. In concert with our other key executives (with prior success bringing similarly complex technologies to market), the Senior Data Architect is a key leadership position that will work with our team of visionaries, scientific pioneers and industry experts.
We are seeking a world class Data Architect with proven experience across an array of industries, solutions and design challenges. Our solution will bridge the worlds of shopping, social networking, social media, multi-device interaction and personal information management. The ideal candidate has spent their career architecting complex data intensive solutions that bring game changing experiences to market by introducing applications that engage the consumer/shopper. We are a well funded start-up with offices in downtown San Francisco (1 block from Montgomery BART), a nimble team of star performers and an opportunity to engage the shopper, retail, and manufacturer communities like never before. You will be responsible for creating the data architecture for our solution in collaboration with our team members. You’ll be interfacing and partnering with retailers and manufacturers to architect a solution to process terabytes of data per retailer. The data will be downloaded via recurring ETL processes and then made available to shoppers in real-time via the web. We will provide a more detailed overview of both our solution and the opportunity during the interview process. REQUIREMENTS 5+ years defining and maintaining logical data models, physical data models, data standards, naming conventions, primary key guidelines, and data flow diagrams 5+ years architecting large (terabytes) data intensive solutions 5+ years experience with retail data models 3+ experience w/ MapReduce technologies PREFERRED 3+ experience defining APIs 3+ years history working with data providers and data vendors 3+ experience developing automated data QA procedures Strong leadership skills including resource management, project estimation, and project management tools Ability to analyze and understand complex problems Excellent verbal and written communication skills Highly organized, self motivated, pro-active, and able to plan Minimum of a B.S in Computer Science or related field Skills Data Analysis, Data Architecture and Development, Data Backup and Recovery, Data Extraction, Data Integration, Data Loading, Data Management, Data Modeling, Data Quality and Standards, Data Security, Data Transformation, Data Warehouses, DBMS, J2EE, Java Web Services, Load Balancing, Optimization Algorithms, Parallel, Programming, Performance Tuning, Relational Databases, Retail Price Optimization, Statistical Analysis, Systems Architecture, Technical Documentation, and Web Architecture Company Description Engage3, Inc. is building the next generation of shopping services designed around customer optimization. Our vision is to provide shoppers, retailers and manufacturers a means to achieve commercial parity throughout the entire supply chain. By understanding shoppers’ needs, goals and objectives, we aim to foster relationships between shoppers, retailers and manufacturers to achieve maximum efficiency. Our team includes experienced software entrepreneurs that previously founded, grew and sold a leading retail analytics company. Their company was acquired in 2006 and gave early investors more than a 10X return (So, raising future rounds of funding from the founders and/or VC will not be a problem). Our current team also includes professors from MIT and senior executive advisors from prominent industry firms. How to Apply
Apply via LinkedIn posting: http://www.linkedin.com/jobs?viewJob=&jobId=697428&fromSearch=0&sik=1244237164866
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