Cloud Data Architect ( remote ) at AssitsRx – United States (Remote)

Job Description

Description

TheCloud Data Solutions Architects is responsible for turning transactional and 3rd party data into data products.  These self-service data assets are utilized by BI Developers, Data Scientists, and Analysts across AssistRx to gain insights, make predictions and recommendations

Requirements

  • Translate business requirements into data models that are easy to understand and used by different subject areas.
  • Hands-on experience in the design and implementation of data warehousing solutions on cloud platforms – specifically data ingestion, integration, and transformation; reporting applications; custom analytics; data migration from on-prem to cloud infrastructure; cloud storage architecture.
  • Improve existing systems, including what areas have gaps that need to be filled, and work with the team and stakeholders to scope and prioritize solutions.
  • Hands-on experience in developing and implementing large-scale data warehouses, Business Intelligence, and MDM solutions, including Data Lakes/Data Vaults.
  • Partner with product teams, data analysts, and engineering teams to build foundational data sets that are trusted, well-understood, and aligned with business strategy.
  • Hands-on experience with productionising cloud data solutions with administration, configuration management, monitoring, debugging, and performance tuning.
  • Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work
    – Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling or data engineering work
    – OR equivalent experience.
  • Hands-on experience with Snowflake administration, SnoPro certification preferred.
  • Data Management experience, such as Master Data Management, Reference Data Management, Data Governance, Data Integration and Data Security
  • Experience with related or complementary open-source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, Chef)
  • Hands-on experience with ETL tools (e.g Informatica, Talend, debt, Azure Data Factory)
  • Knowledge / Hands-on experience with BI tools and reporting software (e.g. Cognos, Power BI, Tableau)
  • Big Data stack (e.g.Snowflake(Snowpark), SPARK, MapReduce, Hadoop, Sqoop, Pig, HBase, Hive, Flume)