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Index Exchange // global advertising marketplace
 
Toronto (North York)    Posted: Thursday, March 28, 2019
 
   
 
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JOB DETAILS
 

Data Architect, Toronto:

Data is a big deal at Index Exchange (IX). IXs advertising exchange handles tens of billions of auctions & generates tens of terabytes of auction-related information every day. The Data Engineering team builds tools & infrastructure to manage this vast amount of data. Our Data Engineers use a suite of technology & hardware to ingest, parse, & maintain our data, including the oversight of multi-petabyte clusters. Were looking for a Data Architect to join our team, & help build the next generation of big data solutions at Index Exchange with real-time streaming & batch analytical capabilities.

Working on the cutting edge of exciting technologies, you will experiment with new tools & engineer innovative approaches to solve interesting challenges. Things shift very quickly in our industry, & we rely on the Data Engineering team to keep IX & our clients ahead of the curve & moving in the right direction. Were looking for a Data Architect who has experience in delivering Big Data solutions both on premise & in the cloud. You will be responsible for designing & developing software solutions to address variable Product needs related to complex Big Data problems. You will formulate an execution strategy to progress from the current state to the future state. We want you to lead the kickoff of your projects, delivering that vision to the teams, work through architectural design reviews & signoff follow through into deployment & monitoring - ensuring the architecture works in production.

Heres what we want:

  • Problem Solver: You need to be someone who is curious & loves taking multiple approaches to solve a problem to find the most efficient, scalable solution
  • Collaborative: We need someone who can work well with other people - both your immediate team as well as all the other departments across IX
  • Passionate: A passion for Big Data & an interest in the latest trends & developments is key for success on this team. We want you to constantly research, study & create new tools & data technologies to improve cluster productivity without sacrificing existing capabilities
  • Self-driven: Youll be on an agile team with lots of autonomy & you need to be comfortable pushing your projects & getting things done
  • Leadership: Take charge of the design, mentorship & implementation for our solutions

Heres what youll be doing:

  • Collaborate with Product Owners, Engineering Leads, & Data Engineers to architect & deliver technical solutions to maximize business value
  • Define Big Data strategy to evolve our data analytics, reporting, data visualization, & data pipeline & delivery service platform
  • Lead as a technical SME for Data Engineering division working across multiple engineering teams
  • Provide technical oversight on data project design, development & testing, deployment, & monitoring

Heres what you have:

  • Bachelor degree in Computer Science, Computer Engineering, or related fields
  • 5+ years of work experience with ETL, data modeling & self-provision data services
  • 2+ years of experience in architecting & building scalable data platforms processing data on a terabyte to petabyte scale with big data technologies such as Hadoop, Spark, Kafka, Presto, Hive, Cassandra, Vertica, or other similar technologies
  • In-depth knowledge of SQL databases, NoSQL database
  • Deep understanding of design principles of distributed system & familiar with mainstream big data related technologies & distributed frameworks
  • Proficient in one or more of the following programming languages Java, Scala or Python
  • Good understanding of modern data structures & business intelligence reporting tools & track record of applying those to build a system
  • Ability to be efficient & to prioritize & deliver on time
  • Must demonstrate strong leadership skills, collaboration & communication skills

Why youll love working here:

  • Work out of our Engineering HQ in midtown Toronto
  • Open concept office designed to facilitate communication & collaboration
  • Free snacks, drinks, & lunch catered in daily
  • Flexible hours & relaxed dress code
  • Annual celebrations (Summer BBQ, Holiday Party, All Hands, Hack Days) & milestone outings

Full healthcare benefits, paid vacation, unlimited sick days, 5% RRSP matching, discounted gym memberships & more

 
 
 
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