Position
Chief data architect


Recruiter
Alexander Ash


Location
London


Salary
Competitive


Date
03 January 2016


Apply now
My client an electronic markets and post trade business with a leading portfolio at the heart of the financial market infrastructure. Is currently searching for a Chief data architect to join them on a contract basis in their offices in London.

Tasks and Duties

Manage and participate with a deeply technical and business focused Data Science and Architecture team dedicated to ongoing study, understanding, and documentation of all aspects of data across Optimisation businesses

Evangelize data architecture approach and influence decision makers across the organization in
order to drive convergence and adoption

Manage and contribute to macro level data processes and organization including:

Identify existing and new data sources

Determine multiple destination data repositories of different types (e.g. RDBMS, NoSQL, Columnar,
Time Series, Bitemporal, etc…) based on business data usage patterns

Design processes and workflows to transform all incoming data into Golden Copy repositories

Model data consumption patterns across the organization

Manage and contribute to micro level data processes and organization including:

Model detailed schemas and structure of data sources

Model detailed schemas and structure of data repositories

Design detailed transformations from data sources to target repositories

Model detailed data lifecycles across markets and asset classes

Design data validation and cleansing approaches

Select, pilot, and integrate optimal open source and third party tools, frameworks, and
applications for data visualization, transformation, analysis, machine learning, and other
business processes

Qualifications & Experience

Must be familiar with approaches to the software development lifecycle and project management in
order to seamlessly interface with product development teams

Must have experience with effectively exerting influence and persuading leadership in a large and
complex organization

Must have experience with logical data modeling and familiarity with practical considerations of
physical implementation in database systems

Must have experience with SQL and RDBMS technology

Must have experience with NoSQL and BigData approaches and technologies (e.g. MapReduce, Hadoop,
Cassandra)

Must have experience with languages and tools for data exploration and analysis (e.g. Python w/
NumPy/SciPy, R, Matlab/Octave)

Must have familiarity with Machine Learning techniques such as Regression, Logistic Regression,
Neural Networks, Support Vector Machines, Recommender Systems.

Must have an understanding of Blockchain / Distributed Ledger technologies

Must have an understanding of Event Stream Processing / Complex Event Processing frameworks such
as Spark, Storm, or Flink

Should have experience leading a collaborative and agile team


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