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Lead Data Architect

ID: von_00075086
Full time
Bucharest
Senior
25-01-2022
Employer Profile

Networking

Responsibilities

Data Modeling

  • Working with product management, domain architects, and customers to lead the definition of information models across the portfolio
  • Identifying cross-product synergies, based on data mining and analytics applied to product data, i.e., further monetizing the products data
  • Assessing the effectiveness and accuracy of new data sources and data gathering techniques.
  • Developing processes and tools to monitor and analyze model performance and data accuracy.
  • Experience with managing huge, network measurement data sets in an operational environment is essential (10s of billions of network measurements across 10s of millions of subscribers).

Data Architecture

  • Defining a storage architecture for our client platform that is capable of meeting a diverse set of end-customer deployment models in a product development environment, while shielding inexperienced developers from development complexity
  • Product environments carry an additional burden for supporting deployment into end-customer environments vs. internal IT programs
  • Leading the selection and lifecycle of our storage solutions from cradle to grave, including risk reductions and migration strategies
  • Defining non-functional requirements for each solution, and working with the team to achieve these requirements in an efficient and portable manner
Requirements

Basic Requirements

Candidate Profile Candidate must have previously served as a data architect for a medium or large (preferably public) company with a proven background of managing multiple long-term projects in service provider, enterprise or cloud-based environments (including SaaS).   

Your skills and qualifications will ideally include:

  • Bachelor’s Degree in Computer Science; Master’s Degree preferred
  • Strong communication and collaboration skills.
  • Extensive experience delivering technology solutions
  • A number of years of hands-on experience with the listed below technologies Columnar Databases (preferably Vertica);  Hadoop, including HDFS, Spark, Parquet, Hive, HBase
  • NoSQL such as MongoDB, Elastic Search,
  • O/RDBMS technologies such as Oracle, Postgres
  • Unix systems
  • Python, Java or Scala
  • Leading design of big data solutions (at least 2 major projects)
  • Experience with information modelling, working directly with development teams
  • Lead risk reductions, estimation efforts, performance and capacity modelling/ planning
  • Verify technical feasibility and validate solution options against the requirements
  • Experience with Agile methodologies, effective working independently and in a virtual team setting
  • Strong communication and presentation skills.
  • Demonstrated experience in developing both big data applications (data science, reporting, analytics applications) AND also in products that use huge, network measurement data sets in operational environments (e.g., with consistent, single-digit query response times in seconds).

Desired Requirements

  • Strong experience supporting Data Scientists with Machine Learning / AI transformation with tools such as Apache Spark, Jupyter, or similar.
  • Designing and implementing Streaming and Batch solutions on Hadoop.
  • Virtualization and containerization including Docker, Kubernetes, Helm · IT Automation tools like Ansible, Chef and Puppet
  • Expertise with data lakes, data warehouse, data marts.
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