Cloud AWS Engineer

Cloud AWS Engineer – Remote/Hybrid

• Understand technology vision and strategic direction of business needs
• Understand our current data model and infrastructure, proactively identify gaps, areas for improvement, and prescribe architectural recommendations with a focus on performance and accessibility.
• Partner across engineering teams to design, build, and support the next generation of our analytics systems.
• Partner with business and analytics teams to understand specific requirements for data systems to support both development and deployment of data workloads ranging from Tableau reports to ad hoc analyses.
• Own and develop architecture supporting the translation of analytical questions into effective reports that drive business action.
• Automate and optimize existing data processing workloads by recognizing patterns of data and technology usage and implementing solutions.
• Solid grasp of the intersection between analytics and engineering while maintaining a proactive approach to assure solutions demonstrate high levels of performance, privacy, security, scalability, and reliability upon deployment.
• Provide guidance to partners on effective use of the database management systems (DBMS) platform through collaboration, documentation, and associated standard methodologies.
• Design and build end to end automation to support and maintain software currency
• Create automation services for builds using Terraform, Python, and OS shell scripts.
• Develop validation and certification process through automation tools
• Design integrated solutions in alignment with design patterns, blueprints, guidelines, and standard methodologies for products
• Participate in developing solutions by incorporating cloud native and 3rd party vendor products
• Participate in research and perform POCs (proofs of concept) with emerging technologies and adopt industry best practices in the data space for advancing the cloud data platform.
• Develop data streaming, migration and replication solutions
• Demonstrate leadership, collaboration, exceptional communication, negotiation, strategic and influencing skills to gain consensus and produce the best solutions.
• Engage with Senior leadership, business leaders at the Federal Reserve and the Board to share the business value.

• Enterprise data service, building platform in the cloud to build their platform on top of ---- focus is on infrastructure (Terraform is REQUIRED- not looking for an architect)
• Understanding of Data Mesh
• Platform focused (infrastructure skills, hands on terraform (not looking for an architect) more infrastructure engineer
• Python, Terraform (hands on), AWS, AWS Gov Cloud, API

• Demonstrates mutual respect, embraces diversity, and acts with authenticity
• Bachelor's degree in Computer Science, Management Information Systems, Computer Engineering, or related field or equal work experience; advanced degree preferred
• Seven or more years of experience in designing and building large-scale solutions in an enterprise setting in both
• Three years in designing and building solutions in the cloud
• Expertise in building and managing Cloud databases such as AWS RDS, Dynamo
  
  DB, Document
  
  DB or analogous architectures
• Expertise in building Cloud Database Management Systems in Databricks Lakehouse or analogous architectures
• Expertise in Cloud Data Warehouses in Redshift, Big Query or analogous architectures a plus
• Deep SQL expertise, data modeling, and experience with data governance in relational databases
• Experience with the practical application of data warehousing concepts, methodologies, and frameworks using traditional (Vertica, Teradata, etc.) and current (Spark
  
  SQL, Hadoop, Kafka) distributed technologies
• Refined skills using one or more scripting languages (e.g., Python, bash, etc.)
• Experience using ETL/ELT tools and technologies such as Talend, Informatica a plus
• Embrace data platform thinking, design and develop data pipelines keeping security, scale, uptime and reliability in mind
• Expertise in relational and dimensional data modeling
• UNIX admin and general server administration experience required
• Presto, Hive, Spark
  
  SQL, Cassandra, or Solr other Big Data query and transformation experience a plus
• Experience using Spark, Kafka, Hadoop, or similar distributed data technologies a plus
• Able to expertly express the benefits and constraints of technology solutions to technology partners, business partners, and team members
• Experience with leveraging CI/CD pipelines
• Experience with Agile methodologies and able to work in an Agile manner is preferred
• One or more cloud certifications.