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Head of Data

Job Title: Head of Data
Contract Type: Permanent
Location: Tokyo, Japan
Industry:
IT
Salary: 10000000 - 15000000
Reference: 10405
Contact Name: Dana Greenfield
Job Published: July 09, 2018 09:00

Job Description

Great opportunity to work with an exciting International Fintech firm.

Our Client is seeking a Head of Data who can excel in a fast-paced environment. You will provide overall leadership, establish and maintain technical roadmaps and represent all architecture disciplines for all the data that underlies the business.

Ideal candidate is experienced as a data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. Your team will support software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

You must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing the company’s data architecture to support their next generation of products and data initiatives.

Responsibilities

  • Provide architecture thought leadership (e.g., tool selection, standards, strategic direction, etc.)
  • Define architecture and software integration standards for the organization
  • Take full ownership in establishing best practices, standards, and governance of data throughout the organization
  • Function as the lead evangelist and educator on data practices and management
  • Ownership over the conceptual and logical data models and how they map to the physical
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.

Qualifications

  • 10+ years of experience in a Data Engineer role, attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. 
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.