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Company Federal Reserve Bank of Richmond
About the Opportunity The Enterprise Data Services team has an immediate opening for a Cloud Data Engineer. Our team delivers a centralized data and analytics platform that provides advanced data migration and analytics solutions for our bank district customers. We work with state-of-the-art technologies that are part of the next generation data ecosystem, which includes tools used for data storage, data processing, data integration, data lakes, data warehousing, and data analytics. You will work cross-functionally with Data Architects, Product Owners, Design Engineers, Developers and Business Analysts in a rapidly evolving environment, identifying solutions, building, and implementing Infrastructure as Code using our CI/CD pipeline.As part of the National IT team, our Enterprise Data Services team is partnered with multiple business lines, our Board of Governors and other IT groups within the Federal Reserve System. You will have an opportunity to showcase your critical thinking and technical skills across many disciplines. This role will be instrumental in shaping the development and support of our product roadmaps and will advance our cloud data analytics platforms.What You Will Do:- 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.
- Demonstrates mutual respect, embraces diversity, and acts with authenticity.
- Bachelor's degree in Computer Science, Management Information Systems, Computer Engineering, or related field or equivalent work experience; advance degree preferred.
- Seven or more years of experience in designing and building large-scale solutions in an enterprise setting.
- Three years in designing and building solutions in the cloud.
- Expertise in building and managing Cloud databases such as AWS RDS, DynamoDB, DocumentDB or analogous architectures.
- Expertise in building Cloud Database Management Systems in Snowflake, Databricks Lakehouse or analogous architectures
- Expertise in Cloud Data Warehouses in Redshift, BigQuery 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 (SparkSQL, 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 Qlik and Informatica isa 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, SparkSQL, Cassandra, or Solr other Big Data query and transformation experience a plus
- Experience using Spark, Kafka, Hadoop, or similar distributed data technologies is 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 SAFe Agile methodologies and able to work in an Agile manner is preferred.
- One or more cloud certifications
- Candidates should review the Bank's Employee Code of Conduct to ensure compliance with conflict of interest rules and personal investment restrictions.
- If you need assistance or an accommodation due to a disability, please notify rich.recruitment@rich.frb.org .
- Sponsorship is not available for this role. The selected candidate will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Eligibility for this specific position requires U.S. Citizenship or three or more years of Permanent Resident (Green Card) status.
- The hiring range is $117,600 - $155,000 annually.
- For candidates outside Richmond, VA, listed hiring and salary ranges may be adjusted based on your geographic location.
- Salary offered will be based on the job responsibilities and the individual's knowledge, skills, and experience as defined in the job qualifications.