Senior Data Architect

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