Senior Data Architect

Job Overview

10 - 14 years
Data warehousing, big data and cloud technologies

What You’ll Do

  • Design robust, reusable and scalable data solutions and pipeline frameworks to automate ingestion, processing and delivery of batch and real-time streaming data.
  • Build and maintain conceptual, logical and physical data models for transactional, BI and analytical platforms.
  • Lead the development and on-going maintenance of our target state data architecture roadmap in collaboration with technology and business partners.
  • Ensure on-going alignment of new and existing data initiatives with the target state data architecture.
  • Define standards and best practices for enterprise data management framework.
  • Play an active role in all stages of a data solution life cycle: acquisition, ingestion, curation, publication, quality and metadata to ensure consistency with data management standards and best practices.
  • Assist with data-related technical challenges and perform root-cause analysis to answer specific business questions and recommend and implementing ways to improve data reliability, efficiency and quality.
  • Assist in the selection of data management tools required to expand our platform capability. Make recommendations to senior management.

What You’ll Bring

  • University degree in Computer Science, Information Systems or related field.
  • 5+ years of experience with data warehousing, big data and cloud technologies with focus on the data architecture discipline.
  • 5+ years of hands-on experience with
    • Data modeling or architecture tools (ERWin)
    • BI visualization software (Power BI, Qlikview)
    • Data catalog software (Informatica EDC, IBM Infosphere, Collibra)
    • Data quality management (IBM IA, Informatica IDQ)
  • 5+ years of hands-on experience in architecture, design and development of enterprise data solutions that enables well integrated transactional, BI and
    analytical platforms.
  • 5+ years of experience with relational databases (Teradata, Oracle, SQL Server) and big data technologies (Hadoop, Hive)
  • Deep experience with data modeling, analysis, metadata and quality.
  • Advanced knowledge of SQL queries
  • Experience with Cloud data platforms technolo gies: Azure Data Lake Store, Azure
  • Databricks, Google Cloud Platform (Data Proc, Dataflow, Big Query).
  • Strong Communication and interpersonal skills
  • Superb analytical and conceptual thinking skills; to not only manipulate but also derive meaningful interpretations from data
  • Ability to take initiative, multi-task and work in a fast-paced environment
  • Capability to liaise with all levels across the enterprise on projects and ad-hoc requests
  • Strong detail orientation is essential in this role
  • A Team player and self-starter