Senior Data Engineer/Architect

Senior Data Engineer/Architect Our client, a forward thinking insurance company, is seeking a talented Senior Data Engineer/Architect to join their team, hit the ground running, and help drive to success. This is a permanent/direct hire position. Snapshot of the client: Specialty insurance company with innovative technology to approach the business differently Greenfield projects and products that will allow you to be creative and growth is a given Excellent leadership and management team Fun company with great work environment, landed on the best places to work in RVA! What will you do? Construct a holistic view of the cloud data infrastructure needed to run the business and collaborate with technology and business partners to incorporate that into their roadmap Designing and developing while ensuring availability, scalability and reliability. Strategic planning and execution of all aspects of data architecture including establishment of current and future state architecture and transformational roadmap in alignment with business strategy Instituting a data architecture and governance discipline to advance rapid delivery of products and data insights Discover, design and develop data flows, data pipelines, databases, and data lakes, to support the organization's data needs. Design data models, data standards, and business glossary Develop and optimize Extract, Transform, Load (ETL) processes to extract data from various sources, transform it into a consistent format, and load it into the data ecosystem. Researches new technologies while keeping up-to-date with technological developments in relevant areas of Data Governance, Master Data, and Data Quality Desired Skills/Experience Previous experience engineering and leading data initiatives (data profiling, improvement, accuracy, completeness, integrity, security, stewardship, and governance) Proficient skills and knowledge of data quality tools, data quality disciplines and technologies to standardize and maintain control over master data Knowledge of modeling conventions for both data (data models) and process (data flow diagrams and process models) Proficiency in programming languages such as Python, Java, or Scala, and experience with SQL and database technologies. Solid understanding of distributed computing principles and big data technologies such as Hadoop, Spark, or Hive. Experience with cloud-based data platforms and services, such as AWS, Azure, or Google Cloud Platform. Experience with ETL, data modeling Why consider this position? Join a growing company with a vision for innovation! Casual environment with flexible schedules. Above market salary with a comprehensive benefits plan If you are interested, apply today!

Created: 2024-11-05