Data Architect

  • location: San Francisco, CA
  • type: Permanent
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job description

Data Architect

job summary:
WHAT ARE WE LOOKING FOR?

We are seeking an experienced Data Architect to join our team to build tools for a distributed data processing platform into a challenging hi-tech company. You will work developing new algorithms to process large scale data efficiently with a large team of interdisciplinary engineers

 
location: San Francisco, California
job type: Permanent
work hours: 8 to 5
education: Bachelors
 
responsibilities:
Responsibilities:

  • Define and execute ETLs using Apache Sparks on Hadoop among other Big Data technologies
  • Design and implement data pipelines for processing and aggregate data
  • Message oriented architecture definitions using Kafka
  • Orchestrate data ingestion into Data Warehouses such as HBase
  • Work with stakeholders and a cross-functional team to understand requirements, evaluate design alternatives and architecture complex solutions.
  • Build collaborative partnerships with software architects, technical leads and key individuals within other functional organizations
  • Ensure code quality by actively participate in code reviews. Test solutions and ensure it meets specifications and requested performance.
  • Build and foster a high performance engineering culture, mentor team members and provide your team with the tools and motivation to make things happen
  • Leads the analysis and design of quality technical solutions.
 
qualifications:
Requirements

  • BS or MS in Computer Science or related technical field or equivalent combination of education/experience
  • A minimum of 8+ years of experience in global software development and deployment
 
skills:
  • Experience with Java or Scala
  • Focus to details, computer science algorithms, data structures, and distributed algorithms
  • Significant experience with Hadoop ecosystem (Spark, Hive, HBase)
  • Knowledge on data streaming and message queue middlewares such as Kafka
  • Deep knowledge on Extract, Transform, Load (ETL) and distributed processing techniques such as Map-Reduce
  • Experience working with large scale enterprise organization with cross-functional teams
  • Excellent verbal and written communication skills
  • Great problem solving and analytical skills
  • Experience working in solutions over any major Cloud provider (AWS, Azure, GCP) is a plus
  • Graph, Data classification and clustering algorithms in distributed environment is a plus
  • Experience defining REST services and platform integrations is a plu

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

Qualified applicants in San Francisco with criminal histories will be considered for employment in accordance with the San Francisco Fair Chance Ordinance.

We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.

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