Senior Data Architect

وصف الوظيفة

Education

  • Master or Bachelor’s degree in computer science, information systems management or related field.
  • Solution and Architecture certifications such as TOGAF or other.

Experiences

  • More than 5+ years of experience in information technology, with 2+ years spent in data architecture or technology solutions definitions and implementations.
  • Extensive experience in banking and financial services domain

Knowledge & Skills

  • Expertise in Data Architecture, Data Strategy and Roadmap for large and complex organization and systems and implemented large scale end-to-end Data Management & Analytics solutions
  • Experience in transforming traditional Data Warehousing approaches to Big Data based approaches and proven track record of managing risks and data security
  • Expertise with DW Dimensional modeling techniques, Star & Snowflake schemas, modeling slowly changing dimensions and role playing dimensions, dimensional hierarchies, and data classification
  • Experiences in cloud native principals, designs and deployments.
  • Extensive experience working with and enhancing Continuous Integration (CI) and Continuous Development (CD) environments
  • Expertise in Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, and Data Archival
  • Define workload migration strategies using appropriate tools
  • Drive delivery in a matrixed environment working with various internal IT partners
  • Demonstrated ability to work in a fast paced and changing environment with short deadlines, interruptions, and multiple tasks/projects occurring simultaneously
  • Must be able to work independently and have skills in planning, strategy, estimation, scheduling,
  • Strong problem solving, influencing, communication, and presentation skills, self-starter
  • Experience with data processing frameworks and platforms (Informatica, Hadoop, Presto, Tez, Hive, Spark etc.)
  • Hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Python, GIT, Jenkins)
  • Exposure to BI tools and reporting software (e.g. MS PowerBI and Tableau)