PLEASE NOTE: WE ARE NOT ACCEPTING ANY 3RD PARTY SOLICITATIONS. ANY SUCH INQUIRIES WILL NOT BE CONSIDERED OR RECEIVE A RESPONSE. WE CAN ONLY WORK WITH DIRECT APPLICANTS WHO ARE AUTHORIZED TO WORK IN THE US WITHOUT SPONSORSHIP. THIS IS AN ON-SITE ROLE FOR LOCAL CANDIDATES ONLY. SOFT's client located in Dallas, Richmond, Charlotte is looking for a Cloud Data Engineer for a long term contract assignment. Qualifications: • Must have Business Acumen skills to understand and anticipate business priorities • Demonstrates mutual respect, embraces diversity, and acts with authenticity • Demonstrates analytical and problem-solving skills • Subject matter expertise in transforming data platform and analytics space. • Bachelor’s degree in Computer Science, Management Information Systems, Computer Engineering, or related field or equivalent work experience; advance degree preferred • Experience in designing and building large-scale solutions in an enterprise setting in both On-Prem/AWS • 5+ years in designing and building data services with all aspects of cloud design, development, and implementation • 3+ years of experience with full stack development, including application, API, testing, and automation experience using at least one of the following languages (Terraform, JSON, Python) • 3+ years of experience designing, building, and supporting solutions hosted either on-prem or in the cloud, and experience with migrating data to the cloud • Advanced proficiency in cloud specific solutions related to gateways, streaming services, or file and database migration services • Experience in developing product roadmap in alignment with other data products and business roadmaps • Experience with leveraging CI/CD pipelines and GitLab is a must • Hands on experience in Terraform, Python, and OS shell scripts including automation tools • Hands on experience in one or more languages such as Java, JavaScript • Experience with other AWS data related services including various compute and storage offerings • Experience with RDS, NOSQL Databases, RDBMS and in-memory databases. • Experience with data access management platform such as Immuta or Privacera, and data mesh is strongly preferred. • Strong background in data structures, networking, performance, and scalability. • Microservices experience is strongly preferred • Must be familiar with Agile methodologies and able to work in an Agile manner • Must have a very strong application development background Responsibilities: Cloud Data Engineer 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 client 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 • Develop product roadmaps in alignment with other data products and business roadmaps • Design integrated solution in alignment with design patterns, blueprints, guidelines, and standard methodologies for products • Participate in defining technical requirements that outlines solution for enabling data analytics within an AWS cloud environment. • Participate in developing architecture and design conceptual solutions by incorporating cloud native and 3rd party vendor products • Provide analysis of current state, future state, and define key outcomes for an IT data platform strategy. • 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 • Demonstrate automation through Infrastructure as a code to increase build efficiency in the cloud • Develop scripting to integrate multiple data sources to data and analytics platform • Build platform supporting rehydration and HA • 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 • Develop multi-layered build, installation, configuration, patching, regression testing, and rollback scripts in each environment. • Integrate platforms to form a cohesive data mesh and help democratize data • Create patching process to compare different versions of the configuration settings. • Provide consulting and guidance on business solution development in the data and analytics space and cloud technologies • 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. • Promote collaboration across business and IT organizations